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Changsha, China

Dianxing L.,Hunan Public Academy | Dianxing L.,Hunan University | Gang Z.,Hunan Public Academy | Wanfang L.,Hunan Public Academy
Metallurgical and Mining Industry | Year: 2015

Because of the bad image phase distortion caused by high pixel image edge when use EZW algorithm or SPIHT algorithm or ENO- orthogonal wavelet transform for image compression processing, the overall effect of the reconstructed image in image compression process is not ideal. This paper put forward a new image compression processing algorithm based on the ENO-biorthogonal wavelet transformation, use the biorthogonal wavelet transformation to carry on image compression processing with the characteristics of completely restructures and the biorthogonal wavelet filter linear phase, perfectly optimized the edge of image, improved the compression ratio, And the experimental result has confirmed that the ENO- biorthogonal wavelet transformation algorithm is very quality. © Metallurgical and Mining Industry, 2015.

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