2012European Signal Processing ConferenceRequires access

Fast lossless image compression with 2D Golomb parameter adaptation based on JPEG-LS

Zicheng Wang, Michael J. Klaiber, Yurij Gera, Sandra Simon, Th. Richter

Open publisher page 2 citations

Abstract

A Fast and Lossless Image Compression (FLIC) algorithm based on the median edge predictor and Golomb coder of JPEG-LS is presented. FLIC eliminates the gradient-based context model from the JPEG-LS standard, the most expensive parts with respect to computational complexity and memory space requirements. To avoid a large context memory, Golomb parameter is selected based on the coding states and the prediction residuals of up to two immediate neighbors, one in each dimension. The FLIC algorithm has low memory footprint and dissolves the data dependencies in JPEG-LS to facilitate parallelization. Experimental results show that the FLIC algorithm achieves a throughput speedup factor of 3.7 over JPEG-LS with less than 4% compression performance penalty. Lossless compression performance results further show that FLIC outperforms other state-of-the-art standards including JPEG 2000 and JPEG XR.

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What this paper is about

A Fast and Lossless Image Compression (FLIC) algorithm based on the median edge predictor and Golomb coder of JPEG-LS is presented. FLIC eliminates the gradient-based context model from the JPEG-LS standard, the most expensive parts with respect to computational complexity and memory space requirements. To avoid a large context memory, Golomb parameter is selected based on the coding states and the prediction residuals of up to two immediate neighbors, one in each dimension. The FLIC algorithm has low memory footprint and dissolves the data dependencies in JPEG-LS to facilitate parallelization. Experimental results show that the FLIC algorithm achieves a throughput speedup factor of 3.7 over JPEG-LS with less than 4% compression performance penalty. Lossless compression performance results further show that FLIC outperforms other state-of-the-art standards including JPEG 2000 and JPEG XR.

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Available abstract

A Fast and Lossless Image Compression (FLIC) algorithm based on the median edge predictor and Golomb coder of JPEG-LS is presented. FLIC eliminates the gradient-based context model from the JPEG-LS standard, the most expensive parts with respect to computational complexity and memory space requirements. To avoid a large context memory, Golomb parameter is selected based on the coding states and the prediction residuals of up to two immediate neighbors, one in each dimension. The FLIC algorithm has low memory footprint and dissolves the data dependencies in JPEG-LS to facilitate parallelization. Experimental results show that the FLIC algorithm achieves a throughput speedup factor of 3.7 over JPEG-LS with less than 4% compression performance penalty. Lossless compression performance results further show that FLIC outperforms other state-of-the-art standards including JPEG 2000 and JPEG XR.

Key concepts: Lossless JPEG, Lossless compression, Golomb coding, Computer science, JPEG, Image compression, Lossy compression, Data compression

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