Wavelet image coding with parametric thresholding: application to JPEG2000

Azza Ouled Zaid; Christian Olivier; Francois Marmoiton

doi:10.1117/12.473061

28 May 2003 Wavelet image coding with parametric thresholding: application to JPEG2000

Azza Ouled Zaid, Christian Olivier, Francois Marmoiton

Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.473061
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

With the increasing use of multimedia technologies, image compression requires higher performance as well as new features. To address this need in the specific area of image coding, the latest ISO/IEC image compression standard, JPEG2000, has been developed. In part II of the standard, the Wavelet Trellis Coded Quantization (WTCQ) algorithm was adopted. It has been proved that this quantization design provides subjective image quality superior to other existing quantization techniques. In this paper we are aiming to improve the rate-distortion performance of WTCQ, by incorporating a thresholding process in JPEG2000 coding chain. The threshold decisions are derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distribution (GGD). The threshold value depends on the parametric model estimation of the subband wavelet coefficient distribution. Our algorithm approaches the lowest possible memory usage by using line-based wavelet transform and a scan-based bit allocation technique. In our work, we investigate an efficient way to apply the TCQ to wavelet image coding with regard to both the computational complexity and the compression performance. Experimental results show that the proposed algorithm performs competitively with the best available coding algorithms reported in the literature in terms quality performance.

Citation Download Citation

Azza Ouled Zaid, Christian Olivier, and Francois Marmoiton "Wavelet image coding with parametric thresholding: application to JPEG2000", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.473061

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