A preprocessing technique for improving the compression performance of JPEG 2000 for images with sparse or locally sparse histograms

Abstract : JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images compression. However, a compression performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless compression performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
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Communication dans un congrès
EUSIPCO: European Signal Processing Conference, Aug 2017, Kos, Greece. 25th European Signal Processing Conference, 2017, 〈10.23919/EUSIPCO.2017.8081542〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01707268
Contributeur : William Puech <>
Soumis le : lundi 12 février 2018 - 16:25:31
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri Masmoudi. A preprocessing technique for improving the compression performance of JPEG 2000 for images with sparse or locally sparse histograms. EUSIPCO: European Signal Processing Conference, Aug 2017, Kos, Greece. 25th European Signal Processing Conference, 2017, 〈10.23919/EUSIPCO.2017.8081542〉. 〈lirmm-01707268〉

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