While the context-based entropy coding and bias cancellation steps in the JPEG-LS standard are key features to its compression performance, these steps also enlarge the memory footprint, create dependencies in the data path of implementations and hence limit parallelism in modern multi-core or GPU architectures, and the throughput in hardware implementations. In the proposed modification of JPEG-LS, such most expensive parts with respect to memory space requirements and computational complexity are omitted.
%0 Conference Paper
%1 gera2012contextfree
%A Gera, Yurij
%A Wang, Zhe
%A Simon, Sven
%A Richter, Thomas
%B Data Compression Conference (DCC), 2012
%C Snowbird, Utah, USA
%D 2012
%E Marcellin, James A. Storer Michael W.
%I IEEE
%K JPEG-LS compression image
%R 10.1109/DCC.2012.64
%T Fast and Context-free Lossless Image Compression Algorithm based on JPEG-LS
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6189277
%X While the context-based entropy coding and bias cancellation steps in the JPEG-LS standard are key features to its compression performance, these steps also enlarge the memory footprint, create dependencies in the data path of implementations and hence limit parallelism in modern multi-core or GPU architectures, and the throughput in hardware implementations. In the proposed modification of JPEG-LS, such most expensive parts with respect to memory space requirements and computational complexity are omitted.
@inproceedings{gera2012contextfree,
abstract = {While the context-based entropy coding and bias cancellation steps in the JPEG-LS standard are key features to its compression performance, these steps also enlarge the memory footprint, create dependencies in the data path of implementations and hence limit parallelism in modern multi-core or GPU architectures, and the throughput in hardware implementations. In the proposed modification of JPEG-LS, such most expensive parts with respect to memory space requirements and computational complexity are omitted.},
added-at = {2016-03-10T09:18:49.000+0100},
address = {Snowbird, Utah, USA},
author = {Gera, Yurij and Wang, Zhe and Simon, Sven and Richter, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2db304c82ebac26f1ce0b6c9364eea416/thomasrichter},
booktitle = {Data Compression Conference (DCC), 2012},
doi = {10.1109/DCC.2012.64},
editor = {Marcellin, James A. Storer Michael W.},
interhash = {de7085ddf12bfe470384ecd81686565b},
intrahash = {db304c82ebac26f1ce0b6c9364eea416},
keywords = {JPEG-LS compression image},
month = apr,
organization = {IEEE},
publisher = {IEEE},
timestamp = {2016-03-10T08:29:26.000+0100},
title = {{F}ast and {C}ontext-free {L}ossless {I}mage {C}ompression {A}lgorithm based on {JPEG}-{LS}},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6189277},
year = 2012
}
