About: Performance evaluation of the emerging JPEG XT image compression standard

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The upcoming JPEG XT is under development for High Dynamic Range (HDR) image compression. This standard encodes a Low Dynamic Range (LDR) version of the HDR image generated by a Tone-Mapping Operator (TMO) using the conventional JPEG coding as a base layer and encodes the extra HDR information in a residual layer. This paper studies the performance of the three profiles of JPEG XT (referred to as profiles A, B and C) using a test set of six HDR images. Four TMO techniques were used for the base layer image generation to assess the influence of the TMOs on the performance of JPEG XT profiles. Then, the HDR images were coded with different quality levels for the base layer and for the residual layer. The performance of each profile was evaluated using Signal to Noise Ratio (SNR), Feature SIMilarity Index (FSIM), Root Mean Square Error (RMSE), and CIEDE2000 color difference objective metrics. The evaluation results demonstrate that profiles A and B lead to similar saturation of quality at the higher bit rates, while profile C exhibits no saturation. Profiles B and C appear to be more dependent on TMOs used for the base layer compared to profile A. The upcoming JPEG XT is under development for High Dynamic Range (HDR) image compression. This standard encodes a Low Dynamic Range (LDR) version of the HDR image generated by a Tone-Mapping Operator (TMO) using the conventional JPEG coding as a base layer and encodes the extra HDR information in a residual layer. This paper studies the performance of the three profiles of JPEG XT (referred to as profiles A, B and C) using a test set of six HDR images. Four TMO techniques were used for the base layer image generation to assess the influence of the TMOs on the performance of JPEG XT profiles. Then, the HDR images were coded with different quality levels for the base layer and for the residual layer. The performance of each profile was evaluated using Signal to Noise Ratio (SNR), Feature SIMilarity Index (FSIM), Root Mean Square Error (RMSE), and CIEDE2000 color difference objective metrics. The evaluation results demonstrate that profiles A and B lead to similar saturation of quality at the higher bit rates, while profile C exhibits no saturation. Profiles B and C appear to be more dependent on TMOs used for the base layer compared to profile A. (en)
Title	Performance evaluation of the emerging JPEG XT image compression standard Performance evaluation of the emerging JPEG XT image compression standard (en)
skos:prefLabel	Performance evaluation of the emerging JPEG XT image compression standard Performance evaluation of the emerging JPEG XT image compression standard (en)
skos:notation	RIV/68407700:21230/14:00222261!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP102/10/1320), P(LD12018)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Fliegel, Karel Krasula, Lukáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	36142
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00222261
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Bit rate; Dynamic range; Image coding; Image color analysis; Signal to noise ratio; Transform coding (en)
http://linked.open.../riv/klicoveSlovo	Bit rate Image coding Image color analysis Signal to noise ratio Dynamic range Transform coding
http://linked.open...ontrolniKodProRIV	[4BB335704D25]
http://linked.open...v/mistoKonaniAkce	Jakarta
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...vavai/riv/projekt	Research and modeling of advanced methods of image quality evaluation Modeling and verification of methods for Quality of Experience (QoE) assessment in multimedia systems (MOVERIQ)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Fliegel, Karel Krasula, Lukáš Ebrahimi, T. Korshunov, P. Bernardo, M. Pereira, M. Pinheiro, A.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-22 (xsd:date)
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/MMSP.2014.6958834
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-5896-2
http://localhost/t...ganizacniJednotka	21230

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