000214362 001__ 214362
000214362 005__ 20190317000334.0
000214362 0247_ $$2doi$$a10.1007/s11554-015-0547-x
000214362 037__ $$aARTICLE
000214362 245__ $$aOverview and Evaluation of the JPEG XT HDR Image Compression Standard
000214362 269__ $$a2015
000214362 260__ $$c2015
000214362 336__ $$aJournal Articles
000214362 520__ $$aStandards play an important role in providing a common set of specifications and allowing inter-operability between devices and systems. Until recently, no standard for High Dynamic Range (HDR) image coding had been adopted by the market, and HDR imaging relies on proprietary and vendor specific formats which are unsuitable for storage or exchange of such images. To resolve this situation, the JPEG Committee is developing a new coding standard called JPEG~XT that is backwards compatible to the popular JPEG compression, allowing it to be implemented using standard 8-bit JPEG coding hardware or software. In this paper, we present design principles and technical details of JPEG~XT. It is based on a two-layers design, a base layer containing a Low Dynamic Range (LDR) image accessible to legacy implementations, and an extension layer providing the full dynamic range. The paper introduces three of currently defined profiles in JPEG~XT, each constraining the common decoder architecture to a subset of allowable configurations. We assess the coding efficiency of each profile extensively through subjective assessments, using 24 naive subjects to evaluate 20 images, and objective evaluations, using 106 images with five different tone-mapping operators and at 100 different bit rates. The objective results (based on benchmarking with subjective scores) demonstrate that JPEG~XT can encode HDR images at bit rates varying from 1.1 to 1.9 bit/pixel for estimated mean opinion score (MOS) values above 4.5 out of 5, which is considered as fully transparent in many applications. This corresponds to 23-times bitstream reduction compared to lossless OpenEXR PIZ compression.
000214362 700__ $$aArtusi, Alessandro
000214362 700__ $$aMantiuk, Rafal
000214362 700__ $$aRichter, Thomas
000214362 700__ $$0245954$$g170391$$aHanhart, Philippe
000214362 700__ $$aKorshunov, Pavel
000214362 700__ $$aAgostinelli, Massimiliano
000214362 700__ $$aTen, Arkady
000214362 700__ $$aEbrahimi, Touradj$$g105043$$0240223
000214362 773__ $$tJournal of Real-Time Image Processing$$q1-16
000214362 8564_ $$uhttps://infoscience.epfl.ch/record/214362/files/Paper.pdf$$zPostprint$$s3532365$$yPostprint
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000214362 917Z8 $$x170391
000214362 917Z8 $$x212659
000214362 917Z8 $$x170391
000214362 937__ $$aEPFL-ARTICLE-214362
000214362 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000214362 980__ $$aARTICLE