2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TA-L6.6
Session:Image Coding II
Time:Tuesday, September 18, 11:50 - 12:10
Presentation: Lecture
Title: JOINT OPTIMIZATION OF RUN-LENGTH CODING, HUFFMAN CODING AND QUANTIZATION TABLE WITH COMPLETE BASELINE JPEG COMPATIBILITY
Authors: En-hui Yang; University of Waterloo 
 Longji Wang; Research In Motion 
Abstract: JPEG optimization strives to maximize the best rate distortion performance while remaining faithful to the JPEG syntax. Given an image, if soft decision quantization (SDQ) is applied to its DCT coefficients, then Huffman table, quantization step sizes and SDQ coefficients are three free parameters over which a JPEG encoder can optimize. In this paper, we first propose a novel algorithm to find the optimal SDQ coefficient indices in the form of run-size pairs among all possible candidates given that the other two parameters are fixed. Based on this algorithm, we then formulate an iterative algorithm to jointly optimize the run-length coding, Huffman coding and quantization step sizes. The proposed iterative algorithm achieves a compression performance better than any previously known JPEG compression results and even exceeds the quoted PSNR results of some state-of-the-art wavelet-based image coders like Shapiro’s embedded zerotree wavelet algorithm at the common bit rates under comparison.



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