Title :
On modeling and turbo compression of grayscale images in the Slepian-Wolf context
Author :
Deslauriers, Isabel ; Bajcsy, Jan
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
In this paper, we frame the grayscale image compression problem according to the Wyner-Ziv problem. We divide the compression process into two separate stages, specifically scalar quantization and Slepian-Wolf coding of correlated discrete random signals. We first explore models of grayscale images leading to image compression scheme based on the Wyner-Ziv problem. Consequently, we develop such a scheme using optimal non-uniform scalar quantization and serial turbo-coding with Latin Square based encoders and report on the obtained simulation results.
Keywords :
correlation methods; data compression; image coding; quantisation (signal); turbo codes; Slepian-Wolf coding; Slepian-Wolf context; Wyner-Ziv problem; compression process stages; correlated discrete random signals; grayscale image compression; grayscale image models; image compression scheme; latin square based encoders; modeling; optimal nonuniform scalar quantization; scalar quantization; serial turbo-coding; simulation; turbo compression; Context modeling; Entropy; Gray-scale; Image coding; Maximum likelihood decoding; Quantization; Rate-distortion; Signal processing; Statistics; Turbo codes;
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
Print_ISBN :
0-7803-8253-6
DOI :
10.1109/CCECE.2004.1347705
