The decoding method based on wavelet image En vector quantization

Chun-yang Liu; Hui Li; Tao Wang

doi:10.1117/12.2052980

24 December 2013 The decoding method based on wavelet image ^E_n vector quantization

Chun-yang Liu, Hui Li, Tao Wang

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90671X (2013) https://doi.org/10.1117/12.2052980
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

With the rapidly progress of internet technology, large scale integrated circuit and computer technology, digital image processing technology has been greatly developed. Vector quantization technique plays a very important role in digital image compression. It has the advantages other than scalar quantization, which possesses the characteristics of higher compression ratio, simple algorithm of image decoding. Vector quantization, therefore, has been widely used in many practical fields. This paper will combine the wavelet analysis method and vector quantization E_n encoder efficiently, make a testing in standard image. The experiment result in PSNR will have a great improvement compared with the LBG algorithm.

Citation Download Citation

Chun-yang Liu, Hui Li, and Tao Wang "The decoding method based on wavelet image ^E_n vector quantization", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90671X (24 December 2013); https://doi.org/10.1117/12.2052980

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