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Proceedings Paper

Highly efficient zerotree wavelet image coder with reduced symbols
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Paper 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.

Paper Details

Date Published: 19 November 2003
PDF: 7 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.504135
Show Author Affiliations
Tanzeem Muzaffar, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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