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Predictive subband image coding with wavelet transform
Authors:Wen-Chuang Huang  Long-Wen Chang
Affiliation:Department of Computer Science, National Tsing Hua University, Hsinchu 300, Taiwan
Abstract:Wavelet transform can decompose images into various multiresolution subbands. In these subbands the correlation exists. A novel technique for image coding by taking advantage of the correlation is addressed. It is based on predictive edge detection from the LL band of the lowest resolution level to predict the edge in the LH, HL and HH bands in the higher resolution level. If the coefficient is predicted as an edge it is preserved; otherwise, it is discarded. In the decoder, the location of the preserved coefficients can also be found as in the encoder. Therefore, no overhead is needed. Instead of complex vector quantization, which is commonly used in subband image coding for high compression ratio, simple scalar quantization is used to code the remaining coefficients and achieves very good results.
Keywords:Image coding  Image analysis  Wavelet transforms  Vector quantization  Subband coding
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