DocumentCode :
319544
Title :
A fast wavelet image coder based on contextual coefficient coding
Author :
Nguyen-Phi, Khanh ; Weinrichter, Hans
Author_Institution :
Vienna Univ. of Technol., Wien, Austria
Volume :
1
fYear :
1997
fDate :
9-12 Sep 1997
Firstpage :
480
Abstract :
We present a new image compression coder based on the discrete wavelet transform (DWT). We propose a new method to code the quantized wavelet coefficients. This way of coding exploits both the sparseness and the self-similarity amongst the subbands. By using contextual coding and a binary arithmetic coder, the statistics of the coefficients is automatically captured. The system is completely adaptive. It is also simple, fast and of low complexity. The proposed system is shown to have good performance, competitive with other more complicated methods. On Lena 512×512, a compression ratio (CR) of 103 can be attained with peak signal over noise ratio (PSNR) of 28.9 dB
Keywords :
adaptive codes; computational complexity; data compression; image coding; transform coding; wavelet transforms; adaptive coding; binary arithmetic coder; complexity; compression ratio; contextual coding; contextual coefficient coding; discrete wavelet transform; fast wavelet image coder; image compression coder; peak signal over noise ratio; quantized wavelet coefficients; self-similarity; sparseness; Arithmetic; Chromium; Discrete wavelet transforms; Entropy coding; Filters; Frequency; Image coding; PSNR; Quantization; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
Type :
conf
DOI :
10.1109/ICICS.1997.647144
Filename :
647144
Link To Document :
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