Abstract
Image subbands can be obtained by using filterbank. Traditional compression method uses direct entropy coding for each subband. After studying the energy distribution in image subbands, we proposed a vector quantization (VQ) coding algorithm to image subband. In the algorithm, vector quantizers were adaptively designed for high-frequency bands in an image. In particular, the edges of the image were examined and fewer bits were assigned to high-energy regions. The experimental result, showed that the algorithm had higher SNR and higher compression ratio than possible by traditional subband coding, JPEG and JPEG 2000.
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Zhong-qi, Y., Zhi-can, B., Dong-mei, L. et al. A high fidelity VQ coding algorithm with region adaptive subbanding. J. Zheijang Univ.-Sci. A 6, 43–48 (2005). https://doi.org/10.1631/BF02842476
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DOI: https://doi.org/10.1631/BF02842476