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Proceedings Paper

Research of image compression algorithm based on wavelet transformation
Author(s): Sun Wei; Chen Kang; Jiang Jie
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Paper Abstract

Through the research of the existing image compression algorithms based on wavelet transformation, and from the construction of wavelet filter, by calculating the image local measures with directional characteristics, this paper selects appropriate measure predictor to separately deal with the lowest frequency sub-band coefficients, at the same time, while more efficiently scanning and positioning, quantitatively coding for the other high frequency sub-band coefficients through means of the maximum table. Experimental results show that the improved algorithm greatly reduces the coding time in the premise of no reconstructed image quality changes.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100332W (29 August 2016); doi: 10.1117/12.2244135
Show Author Affiliations
Sun Wei, Chengdu Univ. of Technology (China)
Chen Kang, Chengdu Univ. of Technology (China)
Jiang Jie, Chengdu Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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