UsingLossyJPEG2000Compression
ForArchivalMasterFiles
Prepared
forthe
LibraryofCongress
OfficeofStrategicInitiatives
by
RobertBuckley
NewMarketImaging
Version1.1
March12,2013
PrimeContract/SolicitationNo.:LCOSI10T0057
PrimeTaskOrderNo.OSI12T0010
1
Contents
Abstract......................................................................................................................................................... 3
Introduction .................................................................................................................................................. 3
Specifyingcompressionbysize..................................................................................................................... 4
NationalDigitalNewspaperProgram ................................................................................................... 5
TheBritishNewspaperArchive............................................................................................................. 7
WellcomeDigitalLibrary..................................................................................................................... 10
Specifyingcompressionbyquality..............................................................................................................11
QualityFactorLuratech,Adobe .......................................................................................................12
Slope–GoogleBooks,InternetArchive .............................................................................................. 13
PSNRHarvardLibrary ....................................................................................................................... 15
Discussion ................................................................................................................................................... 16
Conclusions .................................................................................................................................................20
References .................................................................................................................................................. 22
2
Abstract
Thisreportdocumentsthestudythatreviewedhowdifferentinstitutionshaveusedthecontrolsettings
andcommandlineparametersavailablewithvariousJPEG2000encoderstocreatevisuallylossless
archivalandproductionmasters.Thestudyhasconfirmedtheimagedependentnatureofthecontrols
andconsequentlytheneedforhumanobserverstojudgewhatse
ttingsareappropriateforanimage
typeorcollection.Almostallmemoryinstitutionsthatuse lossycompressionusecon trols th atspecify
compressionbysize,whichgeneratesresultsthatareportablebetweenimplementationsand
institutions.GoogleBooksandtheprojectsassociatedwithitwhichuseslopetospecifycompressionby
quality.HarvardLibraryus
esaPSNRbasedcontrolprocessforcompressionthatrunsautomaticallybut
mustbemonitoredforknownfailurecasesofaglobalmetricforassessingimagequality.Forthetime
being,thereisnoviablealternativetoimagedependentobserverbasedcontrolstrategies,although
visualdiscriminationmetri
cscontinuetoofferthepromiseofautomaticandsupervisedmethodsfor
visuallylosslesscompression.Thesemetricsneedtobemindfulofthecharacteristicsofthedisplayused
inthevisualassessmenttaskandtheireffectontheacceptabilitythresholdsforlossycompressionin
archivalmasters.
Introduction
Attheheartofanarchivalsystemisthepreservationorarchivalfile.It“representsthebestcopy
producedbyadigitizingorganization,”where“best”isdefinedwithrespecttotheobjectivesofa
particularprojectorprogram[1].Further,itrepresents“digitalcontentthattheorganizationintendsto
maintainforthelongter
mwithoutlossofessentialfeatures.”Forstillimagecontent,thearchival
masterhastraditionallybeenanuncompressedTIFFfile,asthishasbeenbelievedtobethebestwayto
preserveessentialfeaturesascapturedintheoriginalscan.Howeverformassdigitizationprojects,using
acompressedformatreducescostscomparedtoanuncompressedformatandisthuse
conomically
attractive.
Theusualargumentsagainstusingacompressedimageformatforanarchivalfilearethatitmakesthe
fileanditscontentsmorevulnerabletoerrors,whetherthecompressionislosslessorlossy,andthat
lossycompressionintroducesdifferencesfromthedigitizedoriginalthatmayinterferewithachievinga
project’sobjectivesandthatcoul
dgrowwithsubsequentmigrations.Howeveroncetheseconcerns
havebeenexaminedintermsoftheubiquityoferrorcorrection[2],noiseinthedigitizationprocessand
theresilienceofimagebasedtaskstocompression,lossycompressionbecomesnotonlyeconomically
attractivebutalsoacce
ptableforarchivalmastersofdigitizedoriginals.Inmostcases,preservingthe
originalscanwithoutcompressionisnotwarrantedfromaqualitystandpoint.Ifsubstitutingalossy
compressedimageforanuncompressedimagedoesnotaffectperformanceofagiventask,thenthe
lossycompressioncanbedescribedas“functionallylossless.”Invisualassess
menttasks,theterm
“visuallylossless”iscommonlyusedandisthevisualequivalentof“functionallylossless.”
3
Theorgani
zationsthathaveadoptedacompressedformatforthearchivalmastersinmassdigitization
projectsforthemostpartareusingJPEG2000asthecompressionmethod
1
.SomeuselosslessJPEG
2000compression,whichisonestepremovedfromuncompressed,offeringreversiblecompressionso
thatthedigitizedoriginalisrecoverable.OrganizationsareincreasinglyusinglossyJPEG2000
compressionforthearchivalmaster,especiallyformassdigitizationprojects.Whethertheyuselossless
orlossycompressionforthearchivalmast
er,mostalluselossyJPEG2000fortheproductionmasterfile.
ForthosewhouselossyJPEG2000compressionforthearchivalmaster,thismeansthesamefilecan
serveasboththearchivalandproductionmaster.
Whenlossycompressionisacceptedforthearchivalimagemaster,thequestionbecomeshowmuch
lossycompressiontouse(andhowdoyouspecifyit).Thetwobasicmet
hodsofspecifyingcompression
are“bysize”and“byquality.”Bysizemeansspecifyingthesizeofthecompress edfileorthe
compressionratio;byqualitymeansusingacontrolthatismonotonicallyrelatedtothequalityofthe
compressedim
ageasmeasuredusingametricsuchasPSNR
2
.Therelationshipbetweenthetwo
methodsisnotasimpleoneandvarieswithimagecontent.
Specifyingcompressionbysize
JPEG2000,unlikeJPEG,makesitpossibletocompressafiletoadesiredsize.Thesizecanbespecified
directlyinbytes,orindirectlyintermsofacompressionratiooracompressedbitrate.Thecompression
ratioisthesizeoftheuncompressedfiletothesizeofthecompressedfile,whichcontainsboth
metadataandimageda
ta.(Compressionfactoristhereciprocalofcompressionratio.)Thecompressed
bitrateistheratioofthecompressedimagedatasizetotheproductofthewidthandheightofthe
image
3
.Inwhateverwaythefilesizeisspecifiedandpassedtothecoder,thecoderachievesthedesired
resultbyretainingonlyasmuchimagedataasisneededtomeetthetargetfilesize.
Ifa24bitoriginalimageiscompressedwithacompressionratioof8:1,thenth
ecompressedbitrate
willbeclosetobutnotprecisely3.0.Thisisbecausecompressionratioisbasedonfilesizewhile
compressedbitrateisbasedonthecompressedimagedatasize,whichislessthanthefilesize.
Similarly,ifthecompressedbitrateisspecifiedas3.0,thenthecompressionratiowillno
tbeprecisely
8:1.Thedifferencesareusuallysmallenough thats tatingthecompressionratioasthenumberofbits
perpixelintheuncompressedimagedividedbythecompressedbitrateisconvenientandnot
significantlydifferentfromthevalueobtainedusingthedefinition.
Theres
tofthissectiondescribestheapproachesthatthreeinstitutionshavetakentoestablishinghow
muchcompressiontousewhenspecifyingcompressionbysize.

1
Some use TIFF with LZW lossless compression and a few use Baseline JPEG, which is a lossy compression
format more often used for access and delivery.
2
PSNR or Peak Signal to Noise Ratio is 10 times the logarithm of the square of the maximum pixel value (peak
signal) divided by the mean squared error (noise), and is expressed in dB or decibels. The error is the difference
between the image before and after compression/decompression; for lossless compression, the error is zero.
3
The definition of compressed bit rate is from Kakadu v6.0.
4
NationalDigitalNewspaperProgram
TheNationalDigitalNewspaperProgram(NDNP)isapartnershipbetweentheNationalEndowmentfor
theHumanitiesandtheLibraryofCongresstoprovideonlineaccesstothedigitizedcontentofhistoric
newspapersviahttp://chroniclingamerica.loc.gov/.Newspaperpagesarescannedingrayscaleat8bits
perpixeland300or400dpi.NDNPusesuncompressedTIFFforarchivalmastersofthepagescansand
lossyJPEG2000compressionforproductionmasters;theJPEG2000productionprofileisdescribedin
[3].SincetheuncompressedTIFFfilefromthescanisbeingretainedasth
earchivalmasterduringPhase
1oftheProgram,therewasnoapriorirequirementfortheproductionmastertobelosslessand
“visuallylossless”compressionwasacceptable.Inthiscase,theintendedusesoftheproductionmaster
areviewingandprinting.WhiletheprogramdoesnotuseJPE
G2000forarchivalmasters,theprocess
thatitusedtospecifylossyJPEG2000compressionwasamongthefirsttobepubliclydocu mentedand
canbeadaptedforusewitharchivalmasters
4
.
Tojudgetheeffectofcompressiononvisualscreenappearance,aseriesofimageswasgeneratedby
applyingdifferentcompress ionratiostoselectedtestimages.Inparticular,representativehalftoned
image,lineartandtextareaswereselectedfromagreedupontestimages.Foreacharea,tenimages
wereprovidedforviewingandevaluatio
n:anuncompressedoriginalandninevariantscompressedto2,
1.33,1,0.75,0.67,0.5,0.4,0.32and0.25bitsperpixel,correspondingtocompressionratiosof4,6,8,
10.67,12,16,20,25and32to1for8bitgrayoriginals.Figure1showstheimagesofthetes
tareas;for
detailsseeAppendixCof[3].
(a) (b) (c)
Figure1.Testimageswith(a)halftoned,(b)lineartand(c)textareas.
ThecompressedimagesamplesweredeliveredtotheLibraryofCongressfortheirreviewandto
establishqualitythresholdsintermsoftheirapplication. The4:1and6:1compressedimageswere
judgedvisuallylosslesswhenviewedonascreen;onlyexperience
dviewerscouldlocatecompression

4
This description of the process is based on Section 3.1 of [3]
5
artifactsintheseimages.Th
eimagequalityexhibitedby8:1and10.67:1wasjudgedpreferable.
Image
qualityat16:1wasacceptable,althoughitwasfeltthattheartifactsandlossofresolutioncouldmake
extendedreadinguncomfortable.Eventheimagequalityat32:1wasjudged useableforsomepurposes.
Theevaluationsfocusedontextquality;halftonequalitywasnotjudgedtobeasimportant.Verylittle
differencewa
snotedintheprintoutsoverthevaryingcompressionlevels.Overallprintqualitywas
adequatebutlessimportantthanvisualscreenpresentationquality.
Asaresult,NDNPadopted8:1compressionfortheJPEG2000productionmasters.Thiswasjudgeda
goodcompromisebetweenfilesizeandimagequality.Sin cehighercompressio
nratiosmaybe
acceptableforsomepurposes,qualitylayerswereintroducedtomakeitpossibletoeasilyobtainimages
atarangeofcompressionratiosbetween8:1and32:1(bitratesbetween1and0.25bitsperpixel).
Sofarnoissueshavebeenreportedwiththeuseofcompressioninth
eproductionmasters,evenwhen
theuserselectedviewsderivedfromthemaretranscodedtoJPEGfordeliverytotheuserbrowser.Asa
rule,scanqualityisamoreimportantfactorinimagequalityandusersatisfactionthancompression
qualityatthislevelofcompression.
Itisworthno
tingthatforafixedcompressedbitrate,theamountofdistortionthatcompression
introducesintoanimagedependsontheimagecontent.Forexample,themorecomplexanimage,the
moredetailorhighspatialfrequencycontentithasandthemorecompresseddata(detail)needstobe
discardedtoachievethetargetcompressedfilesizecomparedtoalesscompl
eximagewithlessdetail.
Thesedifferenceswillbee videntinthePSNRvalues,whichwillbelowerforthemorecompleximages
thanforthelesscomplexoneswhenbotharecompressedtothesamebitrate.However,forthetyp
es
ofimagecontentusedhere—halftoned image,lineartandtext—andatthesecompressionratios,no
significantdifferenceswer ereportedbetweenthequalityoftheimagecontentatthesamebitrate.
Thesecontenttypesarefairlyhomogeneousinthesetestimages.
AlsoworthnotingintheNDNPuseofJPEG2000encodingisthegeneroususeofqualitylayers.The
LibraryofCongressobservedthathighercompressionratiosmaybeacceptableforsomepurposes.
Usinglayersmakesitpossibletoobtainreducedquality,fullresolutionversionsoftheproduction
masterwithcompressionratiosb
etween8:1and32:1,equivalenttobitratesbetween1and0.25bits
perpixel.
Formaximumqualityatmaximumresolution,theuserwoulddirectthedecodertodecompressall
layersinreconstructingtheimage.However,atlowerresolutionsandforthumbnailimages,theuser
coulddecompressfewerlayerstoobtainadecompressedimagewithoutobje
ctionablevisualartifacts.
Theuseoflayerseffectivelyenableshighercompressionratiostomeettheneedsoflowerresolution
andlowerqualityapplications.Usingfewerlayersmeanslesscompresseddatatoaccessand
decompress,whichspeedsupperformance.[4]
Altogether,theNDNPprofilespecifies25layersthatcoverthera
ngefrom1to0.015625bitsperpixel,
ortheequivalentcompressionratiorangeof8:1to512:1.Thebitratesforthelayerswereselectedso
thatthelogarithmsofthebitrates(orthecompressionratios)areclosetobeinguniformlydistributed
6
betwee
nthemaximumandminimumvalues.Figure2plotsthebitratesandcompressionratiosagainst
layers.Theexactbitratevaluesorcompressionratiosarenotcritical.Whatismoreimportantisthe
rangeofvaluesandtherebeingsufficientvaluestoprovideanadequatesamplingwithin therange.
(a) (b)
Figure2:Plotsof(a)Log
2
ofBitRateand(b)Log
2
ofCompressionRatio(CR)vs.Layer
Withinafixedbitbudgetmethodsuchasspecifyingcompressionbysize,themorelayersthereare,the
morebitsareneededtosignalthelayerstructureandthefewerbitsareavailabletorepresentthe
compressedimagedata.Withlesscompressedimagedata,thegreaterthedi
fferencebetweenthe
originalandtheimagethatcanbereconstructedfromthecompressedimagedata.However,forthe
sampleimagesintheNDNPtests,thedifferencesbetweenusing1layerandusing25werenegligible.
Compressingwith25layersinsteadof1layerwasaboutthesameasusingaco
mpressionratioofalittle
lessthan8.1insteadofacompressionratioof8.Thisisarelativelysmallpricetopaytoobtainthe
advantagesofqualityscalability.Futureapplicationsmayusefewerlayersandconsequentlyfewer
qualitysamplingpoints.
TheBritishNews
paperArchive
TheBritishNewspaperArchive(BNA)isapartnershipbetweentheBritishLibraryandbrights olidonline
publishingtodigitizeupto40millionnewspaperpagesfromtheBritishLibrary'scollectionoverthenext
10years[5].Pagesarescannedincolorat24bitsperpixelsand400dpi.Th
epageimagesarethen
compressedusingJPEG2000.
UnlikeNDNP,whichusesuncompressedTIFFforarchivalmastersandlossyJPEG2000forproduction
masters,theBNAuseslossyJPEG2000forbotharchivalandproductionpurposes.Whilerecognizing
thatthereisatradeoffbetweenthequalityofaco
mpressedfileanditssizeandconsequentlythecost
offilestorage,theBritishLibrarydecidedthatlossycompressionwasnotonlyeconomicallydesirable
butalsoacceptable.Fur ther,theydecidedthatitwasdesirabletohavethesamemasterfilesupport
botharchivalandproductionuses,whichsimplifiesfilemanagement.
Inge
neralterms,aproductionprofileisdesignedforperformanceandfastaccesstotheimagesubsets
thatsupportthetargetedusecases,whileanarchivalprofileisdesignedforimagequalityandfile
integrity.Fortunately,withJPEG2000thetwoarecompatiblesothatoneprofilecanmeetboth
7
purposes.TheprofilethattheBritishLi
braryusesforthemassdigitizationofnewspapersintheBritish
NewspaperArchiveservesforbothproductionandarchivaluse.Forproductionpurposes,thekey
choiceshavetodowiththeuseofprecinctsvs.tiles,progressionorder,theuseofcodestreammarkers
andcodi
ngmodes.Forarchivalpurposes,themainchoiceistheamountofcompressionandhowitis
specified.
TheBritishLibraryprofileuses12qualitylayerswith the97irreversiblewavelettransform[6].The
layerscorrespondtocompressedbitratesof10,8.7,7,5.2,3.4,2.1,1.2,0.6,0.3,0.15,0.075bitsper
pixel(correspondingtoco
mpressionratiosof2.4,2.8,3.4,4.6,7.1,11.4,20,40,80,160,320fora24bit
perpixelimage),plusamaximumbitratecorrespondingtotheretentionofalltransformedand
quantizedimagedata.Althoughallthedataisretained,th
ereisstillsomeminimallossbecauseof
roundofferrorswiththefloatingpointtransformsandfromthequantizationusedinthelo ssy
compressionmodeofJPEG2000:thisistheminimallylossycase.Asinthecaseoflosslesscompression,
thebitratecorrespondingtotheminimallylossycaseisnotknow
nbeforehandanddependsonthe
imagecontent.Thefirstbitratethatisexplicitlyspecifiedis10bitsperpixel,correspondingtoa
compressionratioof2.4:1.Itisconceivablethattheminimallylossycompressionratioforsomeimages
willbehigher,whichmeansthecompressedimagew
illhavefewerthan12layers.Inanycase,the
imagerecoveredbydecompressingalllayerswillcorrespondtotheminimallosswiththeselected
quantizationlevels.
Theminimallylossycasesetsalowerboundontheamountofcompressionlo ss foranimage.Mostif
notallimagescantoleratemoreloss.Usinglayerspe
rmitsincreasingtheamountofcompressionafter
theimageisinitiallycompressedbyeliminatinglayersfromthecompressedimagedata,anoperation
thatcanbeperformedwithoutdecompressing(andrecompressing)theimage.Forexample,eliminating
thetopthreelayerswouldbethesameascompressingtheimagewithacompressionratioof3.4:1.The
alternativeistosettheam
ountofcompressioninadvancebasedonthecharacteristicsoftheimageor
thecollectionfromwhichanimageisdrawn,orinstitutionalfactorssuchasaffordabilityandbudget
constraints.
8
Figure3:DistributionofCompressionRat
iosoverQualityLayers1through12:redsquaresshowa
uniformdistribution;bluediamonds,thedistributionintheBritishLibraryprofile
ThelogarithmsofthecompressionratiosofthelayersintheBri t ishLibrarypr ofile arenotunif
distributedacrosslayers,astheyareintheNDNPpr
ofi
ormly
le.Figure3,whichplotsthelogarithmof
compressionratioontheverticalaxisagainstlayernumberonthehorizontalaxis,showsthe
ing
1,N+2andso
onsincethecompresseddatainagivenlayerisasubsetofthedataintheprece
ding(nextlower
istherangein
whichth
earchivalencoderisexpectedtooperateandarchivalJPEG2000masterswilllikelyhave
is
le
velsofcompression,risingtoa90%costreduction
ata10:1compressionratio.Diminishingreturnssetinatthatpointandthecostsavingscurvebeginsto
leveloff;doublingthecompressionbeyondthatonlyachievesafurther5%incostsavingsattheriskof
significan
tlyincreasingthecostofpoorquality.
differences.Th
eredsquarescorrespondtoauniformdistribution;thebluediamonds,tothe
compressionratiosusedintheBritishLibraryprofile.
Layer12corr
espondstoanimagewithacompressionratioof320:1.Layer11intheBritishLibrary
profilescorrespondstoacompressionratioof160:1.DecompressingLayer11meansdecompress
Layers11and12.Ingeneral,decompressingLayerNmeansdecompressing LayersN,N+
numb
er)layer.Layer2correspondstoacompressionratioof2.4:1.Layer1isshownherewitha
compressionratioof2,althoughasnotedearliertheactualvalueisimagedependent.
Thenonuniformdistrib
utionofcompressionratiosintheBritishLibraryprofilewasselectedtoprovide
afinersamplingofcompressionratiosintherange210thanauniformdistribution.This
compressionratiosof10orless.Th
eoptionstillexiststousefewerlayersinsomeproductionusecases;
forexample,smallerimagederivatives,suchasthumbnails,wouldusefewerlayers.
Mostofthecostbenefitsofcompressionareobtainedinthecompressionratiorangefrom2to10.Th
isshowninFi
gure4,whichplotsthesavingsinstoragecostsversuscompressionratio.Theplotisbased
onasimplemodelthatassumescostisproportionaltostoragevolume.Thisisareasonablemodelto
useforthecostofcloudstorage,whichisoftenpricedperunitvolumeperunittime, e.g.TB/
month.
Figure4showsasteepriseincostsavingswithlow
9
Figure4:St
oragecostreductionversuscompressionratio
Pendingadoptionofamethodforsettingthecompressionlevelonanimagebyimageorcollection
basis,theBritishLibraryisusingminimallylossycompression,whichreservestheabilityto“retrofit”or
levelinfuturebydiscardingqualitylaye
rsinarchivedmasters.
ters.Howe
ver,thestorage
requirementforthisvolumeofimagespointedtotheneedforabettercompromisebetweenthecosts
dardsused.
stitutionalpapers,unpublishedworks,mostly20thcentury
ate
rials,mostly
17th,18thand19thcentury
s.
Figure5showssamplematerialsfromtheWellcomeLibrarycollection.
specifyahigh
ercompression
WellcomeDig
italLibrary
TheWellcomeTrustisdevelopingadigitallibrarywiththerequirementtostoreupto30millionimages.
TheypreviouslyuseduncompressedTIFFimagefilesasarchivalmas
ofsecurelongtermdi
gitalstorageandtheimagestan
Initscollections, theWellcomeDigitalLibraryholds:
Printedbooksearlyprintedbooks,modernbooks(monographs),pamphlets,reports
Archivespersonalpapers,in
Manuscriptsunpublished,handwritte n“manuscriptbooks”andrelatedm
Artworkspr
ints,paintings,posters,drawingsandglassslide

 
Figure5.SampleWellcomeLibrarymaterials:Linedrawing,manuscriptpageand pagefromarchive
s
collection.
TheWellcomeTrusthasadoptedlossyJPEG2000compressionforarchivalmastersforlargeproject
andwithitthenotionofusingthesamefileforbothpreservationandproductionina writeonceread
manyty
peenvironment.JPEG2000waschosenastheimagestorageformatinordertokeeptotal
storagerequirementsatavaluethatrepresentedanacceptablecompromisebetweeneconomicstorage
10
andima
gequality.Inaddition,JPEG2000offersintelligentcompressionforpreservationandintellige
decompressionforproductionandaccess.WhiletheWellcomeLibraryalsousesa
nt
masterJPEG2000file
withmultiplequalitylayers,themainquestioniswhatoveralllevelofcompressionisacceptableto
s,
n,they
ga
imageswer
eviewedat100%onacolorcalibratedmonitor,andsubjectswereaskedto
detectadifferencebetweensuccessivecompressionstepsorbetweenimagesbeforeandafter
im
agedeterminedthecompressionvaluefortheentirecollection.Inresultstodate,a10:1
compressionratiowasfoundtoworkwe
llforbooksandan8:1valueformaterialsfromthearchive
mpression
me
th
e
picallythemostdemandingimagesandthemostdiscerning observersetthe
compressionlevel.Amoredirectwayofachievingacc
eptablequalitylevelswouldbetospecify
Theid
eabehindcompressionbyqualityistosettheamountofcompressionwithamethodthat,unlike
deliverthedesiredbalancebetweenimagequali
tyandreducedstoragefootprint.
SincetheWellcomeDigitalLibrarywantedtousecompressiontomanagetheirstoragerequirement
specifyingcompression“bysize”madesense.Todeterminetheacceptablelevelofcompressio
selectedandviewedrepresentativeimagesfroma“collection,”increasingthecompressionratioin
stepsuntilcompressionartifactsbecom
evisible.Theythenbackedoffonestepandusedthat
compressionratiofortheotherimagesinthecollection[7].Analternateapproachthattheyalsoused
startedwithahighlevelofcompressionthatwasclearlyunacceptableandworkedbackwards,
decreasingthecompressionuntilobtaininganimagethatwas“fitforpurpose.”Theseapproachesare
variationsontheclassicpsychophysicalmethodofli
mitsfordetectingastimulusanddeterminin
threshold.The
compression.
Ifdiffere
ntrepresentativeimagesfromacollectiongavedifferentcompressionthresholds,thenthe
lowestcompressionratiowasusedforalltheimagesinthecollection.Inotherwords,the“worst
performing”
collection.
Anadvantageofasizebasedapproachtosetti
ngcompressionlevelsisthatitenablesausertoknowor
estimateinadvancehowmuchspaceisneededforstorage,whichisusefulforplanni
ngpurposes.
However,apointthathasemergedfromtheuseofasizebasedapproachisthatthesameco
levelorratiothatmaybeacceptableforsomeimageswillnotbeforothers.Inotherwords,thesa
compressionlevelcangivedifferentqualitylevelsfordifferentima
ges.Inorderforthesame
compressionleveltoachieveacceptablequalitylevelsacrossasetofimages,itshouldbeapplied
conservativelyortoimageswiththesameorsimilarcontent,whichishowithasbeenappliedin
casesdescribedsofar.Ty
compressionbyquali
ty.
Specifyingcompressionbyquality
specifyingco
mpressionbysize,producesaresultthatdependsonoradaptstotheimagecontent.
CompressionbyqualityisfamiliartoJPEGusers.WhenuserselecttosaveanimageasaJP
EGfile,they
aretypicallypresentedwithaslideralongwhichtheycanadjustapointerfrom“lowquality,most
compression”atoneendto“highquality,leastcompression”attheother.Thehigherthequalityfactor,
thefinerthequantizationofthecoefficientsofthetransformedimageandthesmallerthedifference
11
betwee
nthecompressedandoriginaluncompressedimages.Becauseofcontentdifferences,the
qualityfactorwillgivedifferentcompressionratiosfordifferentimages;specifyingcompressionbysiz
isonlypossiblewithJPEGbyusinganiterativ
same
e
eprocess.Onepotentialdrawbackofqualitybased
approachesisthatthescalesforadjustingqualityha
venotbeenstandardizedandtherearemultiple
Therestofthissectiondescribesdifferentmethodsthatvendorsofferandorganizationshaveusedfor
re
yon
d
00compressio
nofbookpages,theCaliforniaDigital
LibraryandInternetArchivereportedthatonlyaprofessionaldigitalphotographercoulddetect
eswi
ththesame
QualityvaluewillhavethesamevisualqualityorthatthereexistsasingleQualityvaluethatrepresents
thethresholdatwhichcompressionartifactsbecomevisibleacrossasetofimages.
waysofcontr
ollingandmeasuringquality.
specifyingcompressionbyquality.
QualityFact
orLuratech,Adobe
TheLuratechJP2SDKandcommandlineinterfaceoffersQualityasaparame ter whensavinganimage
asaJP2file.Figure6(a)showstheSaveAsdialogboxfromtheLuraWaveSmartCompresstool,whe
QualityisoneoftheSaveOptions;compressionratioandcompres sedfilesizear
ealsoSaveOptions.
TherangeofQualityvaluesis1to100,with1theminimumand100themaximum.Thelowerthe
Qualityvalue,thecoarserthequantizationofthesubbands ofthewavelettransformedimagebe
thesmallest.InthetestsperformedontheJPEG20
compressionartifactsataQualityvalueof70[8].
Figure6(
b)plotsPSNRagainstQualityforthesamplesimagesshowninFigure7
5
.Forthecolorimagesin
thissample,theplotofPSNRvs.QualityisastraightlineovertherangeofQualityvaluesfrom40to
100;theinterceptandslopeofthelineareimagedependent.Forthegrayscaleimagesinthissample,
theplotwasslightlybowed.Apriorithereisnore
asontobelievethatdifferentimag

(a) (b)

5
The sample images were compressed using LuraWave SmartCompress Version 2.1.05.03 from Luratech.
12
Figure6.Lu
ratechQualitysetting(a)LuraWaveSmartCompressSaveAsDialogBoxwithQuality
Optionsetto70;(b)PlotofPSNRvs.QualityforsampleimagesinFigure7.
AdobePhotoshopalsooffersaQualitysettingwhensavinganimageasaJPFfile,includingaJP2
compatibleJPFfile.Howe
ver,thePhotoshopQualitysettingworksdifferentlyfromtheLuratechone.
Forallimages,theplotofcompressedfilesizevs.Qualityisastraightline,withcompressedfilesize
decreasingasQualitydecreases fromanimagedependentmaximumataQualityof100
Save
ty
Q%ofthemaximumfilesize.Thequantiz ationinthePhotoshop
encoderdoesnotchangewith theQualitysetting,sothedifferentsizedfilesatdifferentQualitysettings
areobtainedbydiscardingcompresseddata.Ineffect,PhotoshopQualitycontrolsthecompression
factoronanim
agebyimagebasis.
6
.ForaQuali
valueofQ,thecompressedfilesizeis
1a34699 card

7x5177,24bitcolor);card(1542x945,24bitcolor);
)
optimiza
tiontoselectasubsetofthecompresseddatathatgivesacompressedf ilewiththespecified

Woman 691 29516
Figure7.TestImages:1a34699(666
Woman(204
8x2560,24bitcolor);691(1306x1294,8bitgray);29516(6648x8358,8gray
Slope–Goog
leBooks,InternetArchive
Whenspecifyingcompressionbysize,JPEG2000encodersusepostcompressionratedistortion
6
Selected sample images were compressed using Adobe Photoshop CS3.
13
sizeandth
elowestdistortion[9].Notallcompresseddataequallyeffectsthedistortionorerror,sothat
thecompresseddatatoi ncludefirstinthe
fileisthedatathatgivesthelargestreductionindistortion
forthesmallestincreaseinfilesize.Thisoptimizationproducesaslopevaluethatesti
matesthechange
ope
compresseddatahasbeendiscarded.Theus
eful
rangefortheslopeparameterintheKakaduencoderisbetweenabout49000and53000;the
n
pages.Bycomparison,aslopevalueof52516gaveacce
ptable
qualityratingsonly5%ofthetimewithtextandnontextpag
es;theother95%ofthetimethepages
8:1
compressionratiowillhav
edifferentamountsofdistortiondependingontheimageconte
nt,images
hen
en
vironmentthatcan
makesomeclaimtothewayinwhichuserswouldtypicallyviewimages
8
.KakaduV6.0wasusedto
createthecompressedimageswithslopevaluesbetween49200and52516.

indistortionwiththechangeinfilesize.
Analternativ
etodirectlyspecifyingthecompressedbitrateisdirectlyspecifyingthisslopevalue.Thisis
anoptionintheKakaduandAwarecommandlineinterfaces
7
.Slopesareinverselyrelatedtobitrates,
sothatthelowertheslope,thehigherthebitrateandthesmallerthedistortion.InKakadu,thesl
valuescanrangefrom0,correspondingtoimagewithallthecompresseddatawithnonediscardedto
65535,correspondingtoanimagewhereallthe
operating
higherth
eslopenumber,thelowerthequality.
AttheJPEG2000SummitinMay2011,GoogledescribedtheiruseofslopevaluesintheJPEG2000
encodingfortheGoogleBooksproject[10].UsingtheKakaduencoder,theyreportedacceptablequality
indaytodayoperationsataslopevalueof50980;imagesexportedafterimageprocessinguseda
qualityvalueof51492.TheMi
chiganDigitizationProject,whichisr elatedtoGoogleBooks,requiresthat
allcontinuoustoneimagesbedeliveredinJPEG2000formatandthatthedefaultsloperatedistortio
valueforencodinggrayscaleimageswillbe51492[11].InthestudythatChapmanetal.reportedonin
2007[8],aslopevalueof51492gaveperfec
toracceptablequalityratings93%ofthetimewithtext
pagesand87%ofthetimewithnontext
werejudgedmarginaloru
nacceptable.
AsamplingofcolorandgrayscalepageimagesfromtheInternetArchiveshowsthattheywerecreated
withaslopevalueof50995usingKakaduV5.1.Thecorrespondingcompressionratiosrangedfrom
foragrayscalepagewithtex
tandahalftonedillustrationto351:1forablankcolorpagewithsome
showthrough,with52:1foracolorpagewithblackandwhitetext.Justasimageswiththesame
createdusingthesameslo
pevaluewillhavedifferentcompressionratiosdependingontheircontent.
Figure8plotsPSNRagainstslopevalueforthesampleimagesofFigure7.Astheplotclearlyshows,the
relationshipisimagedependent.Compressionartifactsarevisibleinallimagescreatedwithaslope
valueof52516.Insomeimag
es,notablyImage691,artifactswerevisibleataslopevalueof50995w
theywereviewedat100%magnificationonalaptopscreeninanuncontrolled
7
Since the use of visual weights is the default in the Kakadu command line interface, their use must be turned off
when using the slope to minimize distortion in the sense of PSNR or mean squared error.
8
Uncontrolled here means free form and not measured so the environment may not be able to be replicated. See the
Discussion section for a discussion of the potential for display characteristics to affect compression results.
14
Figure8.PlotsofPSNRvs.SlopeforsampleimagesinFigure7
PSNRHa
rvardLibrary
TheplotsinFigures6(b)and8showthattherelationshipbetweenPSNRandtheQualityandSlope
controlsettingsisimagedependent.Foranyoneimage,thisrelationshipcanbecharacteriz edandthen
appliedtoimagesthatsharethesamerelationship,providedtheycanbeidentified,toobtainadesired
targetPSNRva
lue.Analternativeistouseanimagemodelthatallowsananalyticderivationofthe
relationshipbetweencontrolsettings andPSNR(orsomeotherimagemetric).ThedesiredPSNRwould
thenbeobtainedwhencompressingimagesthatthemodeldescribes.Thisleavesasideforthemomen
t
thequestionastohowwellPSNRestimatesvisualqualityacrossdifferentimagessubjecttothesame
treatment,inthiscaseJPEG2000compression.
TheAwareJPEG2000encodercommandlineinterfaceallowsuserstospecifyatargetPSNRvaluewhen
encodinganimage.AttheJPEG2000Su
mmit,HarvardLibraryreportedobtaininghighfidelitycopiesof
pageimagesusingtheAwareJPEG2000encoderwithaPSNRsettingof46db[12].However,theyalso
reportedthatthisapproachcouldproduceoverlycompressed imageswithnoticeablecompression
artifacts.Figure9showsanexamplefrom[12].
15
Figure9.Comparisonof(a)uncompressedand(b)compressedimages;seetextfordescriptionof(b).
Thesefailuresoccurredinimages withlargeuniformareasandabrupttransitionsandthatdepart
significantlyfromtheunderlyingmodel.Toguardagainstthiskindoffailureandovercompression,
Harvardusesascriptthatcompressesth
efiletoatargetPSNRvalueandthencheckstoseeifthe
compressionratioexceedsapredeterminedmax imumvalue.Ifitdoes,thenthetargetPSNRvalueis
incrementedbyoneandthefilecompressedagain.Thiscontinuesuntilthecompressedratiofallsbelow
themaximumorun
tilamaximumPSNRvaluereached,inwhichcaseawarningisissued.
ThisbehavioralsohighlightsthelimitationsofaglobalmetricsuchasPSNR—asinglenumberto
describetheeffectofcompressionovertheentireimage,althoughcompressiondoesnotaffectallparts
ofanimageequally.Largerdistortionsan
dveryvisiblecompressionartifactsinsomepartsoftheimage
canbeoffsetbysmallerdistortionsintherestoftheimagetogiveanaveragedistortionfortheentire
imagethatwouldbeacceptableifitoccurreduniformlyovertheimage.
Discussion
Thisstudyhasreviewedhowdifferentinstitutionshaveusedthecontrolsetti ngsandcommandli ne
parametersavailablewithvariousJPEG2000encoderstocreatevisuallylosslessarchivalandproduction
masters.Thecriterionforjudgingwhetheragivenleveloflossycompressionisacceptableisthatit
introducesnovisibleorfunctionaldiffe
rencesinthedecompressedimagecomparedtotheoriginal
imagebeforecompressionandthatinallthewaysthatmatterthedecompressedisan acceptable
surrogatefortheoriginal.
16
Thefollowingtablesummarizesth
econtrolsavailableinselectedencodersforspecifyingcompression
bysizeandbyquality.
1. ImageMagickusesJasperforJPEG2000encodingandaddsaquality
parameterthatismappedtothecompressionfactorinJasperbyanonlinearfunction.
2. GIMPrequirestheOpenJPEGlibraryforJPEG2000encodinganddecoding.
Itisworthnotingthatthedifferentcontrolslistedunder“Compressionbysize”inthetableareall
expressionsofthesameunderlyingmetricandaresimplyrelatedonetoanothersothatCompression
bysizeisastandardizedandeasilyreplicatedapproachtoimagecompression.Different
implementationsproducecomparableandc
ompatibleresults.Bycomparison,thecontrolslistedunder
“Compressionbyquality”inthetablearealldifferent,andthesettingsandresultsforQualityfactorin
particulararenotportablebetweenimplementations.
WhicheverapproachisusedtocontrolJPEG2000compression,theyallgetmappedontotwo
mechanismsthattheencoderuseswh
encreatingcompresseddata:specifyingthesubband
quantizationstepsanddecidingwhichpartsofthecompresseddatastreamareretainedandwrittento
theoutputfile.
Ashasbeenobserved,themappingfromthesettingsorvaluesofanyofthesecontrolstothevisibility
thresholdforcompressionartifactsisimag
edependent.Asaresult,mappingssuchastheonesthat
NDNPortheWellcomeLibraryusesforcompressionratioandthatGoogleBooksusesforslopeare
appliedconservativelyandtoacollectionortypeofimage.Sofartherehasnotbeenamappingthat
appliestoallimagesnoristherelikelytobeonewhenth
ecriterionisdetecting compressionartifacts
sincethesecontrolsandtheassociatedmetricsareglobal.Theyuseasinglenumberthatappliestothe
entireimagewhenvisualdiscriminationisusuallybasedonlocalfeatures.
PSNRisadifferentcontrolfromtheothersinthetab
leinthesensethatone cannotapplyitdirectlyto
theencodingprocessandexpecttogetbackacompressedimagewiththespecifiedPSNRvalue.The
exceptioniswhentheimagefitsthemodelthatwasassumedinthemappingfromPSNRvaluetothe
compressioncontrols.Otherwisetoobtainaco
mpressedimagewithaspecificPSNRvalue,aniterative
processisneededthatgoesthroughmultiplecompresscomparecyclesuntilthedesiredPSNRvalueis
obtained.Bycomparison,ifyouspecifythecompressionratioorslopevalue,thenyouwillgeta
compressedimagewithth
especifiedcompressionratioorslopevalue.
17
Evenwh
enaspecificPSNRvalueisachieved,itiswellknownthatPSNRisnota reliablepredictorof
imagequalityortheimagequalitydiffer encesacrossimagesandimagetreatments,suchas
compression[13].AmetricthatshowsabetterrelationshiptoimagequalityistheSSIM(Structural
Similarity
)index[14].Besidesbeingaglobalmetric,itcanbeappliedlocally,whichmaybeusefulin
identifyingregionsinanimagewhosestructuralcontenthasbeenmostdisturbedbycompression.A
localmetricwouldbesuperiorinmimickingtheprocessthatobserversusetoevaluateimage
compressionandde
terminethevisibilitythresholdforcompressionartifacts.However,theSSIMindex
ismorechallenginganalyticallythanPSNRandachievingatargetvaluewillrequireaniterativeprocess.
TheglobalSSIMIndexhasbeenusedtoassesstheeffectsofJPEG2000compressiononthescalefrom
visuallylosslesstovisuallylossycompression[14,15].Ourinteresthereisinfindin
gtheboundaryor
thresholdbetweenthetwoforaclassorcollectionofimages.
Figure10.Blockdiagramofsystemforassessingcompressionartifacts
Figure10showsthestepsinvolvedinthevisualassessmentsreviewedinthisstudy.Anoriginalis
captured,compressedusingspecified controlparametersandthendecompressed.Theresulting
decompressedimageandtheoriginalcapturedimagearedisplayedtoanobserverwhoco
mparesthem,
lookingfordifferencesandartifacts.Becausetheobservercanonlybaseanassessmentontheimages
presentedbythedisplay,it hasbeenimplicitthedisplayfaithfullypresentstotheobserverthe
compressionartifactsthatmattertotheassessment.Thisassumptionneedstobeexamined.
Thespatialfrequencyresponse(SF
R)ofthecapturedevicecanaffectthecompressibility oftheimage.
Forexample,decreasingtheSFRorsamplingefficiencywill increasethelosslessorminimallylossy
compressionratioforanimage,allotherthingsbeingequal.Also,whentwoimagesarecompressedto
thesamelossycompressionratio,theim
agewiththelowerSFRwillhavealowermeansquareerror.
TheSFRofthedisplaydevicecanalsoaffectthecompressibilityofanimage,ormorepreciselythevisual
assessmentofthecompressibilityofanimage.Forexample,twoimages,onecompressedandtheother
uncompressed,thataredi
stinguishableononedisplaymaybeindistinguishable onadisplaywitha
lowerSFR.Inotherwords,apoordisplaymaymakeanimagelookmorecompressiblethanitreallyisor
shouldbe.
18
Figure11.ContrastResolutionTestTarget
Figure11showstheContrastResolutionTestTargetthatFranzSig gofRITdesig nedandcreatedfor
assessingthecontrastresolutioncharacteristicsofaprinter[16].Thetargetcontains10rowsand10
columnsofconcentriccirclesofvaryingsizeandcontrast.Usingconcentriccirclesmeanstha
tedgesare
availableatallorientations.Thecirclesineachcolumnhavethesamecontrastratio,startingwith100%
inthelefthandcolumnanddecreasinginequalsizedlogstepsto1%intherighthandcolumn.The
averagetonevalueoftheconcentriccirclesis50%,w
hichisalsothetonevalueofthegraystrips
separatingthecolumns.Thecirclesineachrowhavethesameresolution,startingwith0.63linepairs
permm(about32dpi)inthetoprowandincreasinginequallogstepsto6.25linepairspermminthe
bottomrow.
Whenthetar
getresolutionexceedsthedeviceresolution,thecirclescannolongerberesolvedandthe
Moirépatternslikethoseinthelowerleftcornerofthetargetbecomevisible.WheretheSFRofthe
devicefallsoff,lowcontrast,highfrequencydetailcannotbereproducedandthecirclesble
ndinto
uniformgraypatcheslikethoseinthelowerrightcornerofthetarget.Thisisalsotheregionwhere
19
transformco
derslikeJPEGandJPEG2000operate,coarselyquantizing thehighspatialfrequency
contentoftheimageandeliminatinglowcontrast,highfrequencyedges.
Whatmakesthissignificantisthatinsettingthresholdsforthevisibilityofcompressionartifacts,itis
importanttoknowifartifactsarenotvisiblebe
causethehumanvisualsystemcannotdetectthemor
becausethedisplaycan’tresolvethem.Otherthanreportingwhatdisplay wasusedintesting,the
displayanditscharacteristicsarenotmentionedinreportsofthetestingofcompressionse ttings.This
meansthattheresults,besidesbeingimagedependent,mayalsobedisplayd
ependent.Itisworth
testingdifferencesbetweendisplays(andviewingconditions)toseehowgreatasourceofvariability
theymaybeintheresultsreportedbydifferentinstitutionsandindifferenttests.
Finally,thecapturedevi cecanalsobeasourceofvariabilityintheimagepathofFigure10.Afocuson
compressionasalossyornoisyprocessshouldbea
ccompaniedbyarecognitionthatcaptureisalsoa
noisyprocess.
Conclusions
Asarule,theamountofcompressionthatisacceptabledependsonthetask,theimageandthe
compressionmethod.Thisreporthasreviewedandpresentedresultsbasedonthevisualassessmentof
digitizedimagesfromculturalheritageinstitutionsthatwerecompressedusingJPEG2000tocreate
visuallylosslessarchivalandproductionmasters.Inparticular,ithasreviewedan
danalyzedthe
differentcontrolsettingsandcommandlineparametersthatwereusedbyvariousJPEG2000encoders
tocreatemasterfiles.
Thecontrolscanbeclassifiedasspecifyingcompressionbysizeorbyquality.“Bysize”contro lsare
easiertoshareandreplicatebe
tweenimplementationsandinstituti onsandtheyarethemostwidely
usedmethodforspecifyingcompression.However,theycannotbegeneralizedbetweenimagesor
acrossimageclassesbecausetherelationshipbetweencompressionratioandqualityiscontent
dependent.The“byquality”slopecontrolisrelatedtothe“bysize”controlsbecauseoftheme
chanism
thatJPEG2000encodersusetoobtainacompressedfilewithaspecifiedsize.TheGoogleBooksproject
usestheslopecontrolinapplicationsthatfocusonbooksandtextualmaterialsandwherethesize
qualitytradeoffusuallytiltstowardsize(andspeed). HarvardLibraryusesa“byquality”PSNRcontrolin
acompressionprocesstha
t,oncethePSNRvaluehasbeenset,canruna utomatically,althoughitmust
checkforthefailurecasestowhichglobalmetricssuchasPSNRarevulnerable.Theissueisusing
controlsbasedonglobalmetricswhenvisualtaskperformanceisbasedonlocalfeatures.
Thestudyha
sconfirmedtheimagedependentnatureofthecontrolscurrentlyavailableand
consequentlytheneedforhumanobserverstojudgethecontrolsettingsthatareappropriateforan
imagetypeorcollection.Thecriterionforanacceptableleveloflossycompressionhasbeenthatthere
isnofunctionaldifferencebetwee
ntheimagesbeforeandaftercompression,where“functi onal”
translatesto“visual“whenthetaskisacomparisonmadebyahumanobserver,asitishere.Forthe
timebeing,thereissimplynosubstituteforahumanobserverwhenthecriterionforanacceptablelevel
ofcompressionisnovisibleorsignifi
cantdifferencebetweenoriginalandcompressedimages.
20
Whiletheco
ntrolsettingstomeettheneedsofthetaskareimagedependent,theycanandhavebeen
appliedtoimagesofthesamegeneraltypeorwithinthesamecollection.Untilanimage typeorclassis
morecloselydefinedandcircumscribedforthepurposesofcompression,thecontrolshavebeen
appliedcons
ervatively.Usingqualitylayersinthecompresseddatadoesnotaffecttheoverallquali ty
whileprovidingoptionsforreducedqualityselectionsthatcansatisfyotherapplicationsorcriteria.
Analternativetoanimagedependentobserverbasedcontrolstrategywouldreducetherelianceon
observers.Thiswoulden
abletheprocessfordeterminingthethresholdofacceptablecompressiontobe
automatedandtoscalemoregracefullyandlessexpensivelyascollectionsandthedemandfor
compressedmastersgrow.Theplacetolookforanalternativetoobserversisavisualdiscrimination
metricthatcanmimichowhumanobserversdetectcompressionartifactsan
ddeterminenearthreshold
differencesbetweenimages.Ageneralmetricwouldbecostlytodevelop.Fortunatelythemetricfor
thisapplicationcanbeconstrainedbyJPEG2000compressionartifacts,whichholdsthepromiseof
lowerdevelopmentcostsandsuperiorperformance throughtuning.
Whiletheimagedependenceoftheco
mpressionthresholdsisunavoidable,itcanbebetterunderstood
andcharacterizedthroughtheuseofasynthetictarget.Likethemetric,thetargetcanbedeveloped
withJPEG2000compressioninmind.Inaddition,atargetthatincorporatedelementsofthetargetin
Figure11wouldalsomakeitpossibletoassessthedisplayde
pendenceofcompressionthresholds.
Addinganeducationcomponenttothesedevelopmentsoffersthebenefitofincreasingconfidencein
theuseoflossyJPEG2000compressionforarchivalmasters.Thiswouldbeanimportantadditiontothe
costbenefitsofcompression,whicharealreadywellunderstood. 
21
22
References
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[2] RobertBuckley,“ErrorCorrectionandRecoveryofJPEG2000CompressedImagesinDigital
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