Visually lossless JPEG 2000 decoder

Leandro Jiménez-Rodríguez, Francesc Aulí-Llinàs, Michael W. Marcellin, Joan Serra-Sagristà

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Visually lossless coding is a method through which an image is coded with numerical losses that are not noticeable by visual inspection. Contrary to numerically lossless coding, visually lossless coding can achieve high compression ratios. In general, visually lossless coding is approached from the point of view of the encoder, i.e., as a procedure devised to generate a compressed codestream from an original image. If an image has already been encoded to a very high fidelity (higher than visually lossless - perhaps even numerically lossless), it is not straightforward to create a "just" visually lossless version without fully re-encoding the image. However, for large repositories, re-encoding may not be a suitable option. A visually lossless decoder might be useful to decode, or to parse and transmit, only the data needed for visually lossless reconstruction. This work introduces a decoder for JPEG 2000 codestreams that identifies and decodes the minimum amount of information needed to produce a visually lossless image. The main insights behind the proposed method are to estimate the variance of the codeblocks before the decoding procedure, and to determine the visibility thresholds employing a well-known model from the literature. The main advantages are faster decoding and the possibility to transmit visually lossless images employing minimal bitrates.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2013
Subtitle of host publication2013 Data Compression Conference
Pages161-170
Number of pages10
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 Data Compression Conference, DCC 2013 - Snowbird, UT, United States
Duration: Mar 20 2013Mar 22 2013

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314

Other

Other2013 Data Compression Conference, DCC 2013
Country/TerritoryUnited States
CitySnowbird, UT
Period3/20/133/22/13

ASJC Scopus subject areas

  • Computer Networks and Communications

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