Highly efficient zerotree wavelet image coder with reduced symbols

Tanzeem Muzaffar; Tae-Sun Choi

doi:10.1117/12.504135

19 November 2003 Highly efficient zerotree wavelet image coder with reduced symbols

Tanzeem Muzaffar, Tae-Sun Choi

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.504135
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

This paper presents a novel wavelet comrpession technique to increase compression of images. Based on extension of zerotree entoropy coding method, this method initially uses only two symbols (significant and zerotree) to compress image data for each level. Additionally, sign bit is used for newly significant coefficients to indicate them being positive or negative. Contrary to isolated-zero symbols used in conventional zerotree algorithms, the proposed algorithm changes them to significant coefficients and saves its location, they are then treated just like other significant coefficients. This is done to decrease the number of symbols and hence decrease number of bits to represent the symbols used. In the end, algorithm indicates isolated-zero coordinates that are used to change the value back to original during reconstruction. Noticeably high compression ratio is achieved with no change in image quality.

Citation Download Citation

Tanzeem Muzaffar and Tae-Sun Choi "Highly efficient zerotree wavelet image coder with reduced symbols", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.504135

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