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Modified Vector Quantization Method for Image Compression

Authors: K.Somasundaram, S.Domnic

Abstract:

A low bit rate still image compression scheme by compressing the indices of Vector Quantization (VQ) and generating residual codebook is proposed. The indices of VQ are compressed by exploiting correlation among image blocks, which reduces the bit per index. A residual codebook similar to VQ codebook is generated that represents the distortion produced in VQ. Using this residual codebook the distortion in the reconstructed image is removed, thereby increasing the image quality. Our scheme combines these two methods. Experimental results on standard image Lena show that our scheme can give a reconstructed image with a PSNR value of 31.6 db at 0.396 bits per pixel. Our scheme is also faster than the existing VQ variants.

Keywords: Image compression, Vector Quantization, Residual Codebook.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072730

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References:


[1] R. M. Gray, "Vector quantization," IEEE Acoustics, speech and Signal Processing Magazine, pp. 4-29, 1984.
[2] M. Goldberg, P. R. Boucher and S. Shlien, "Image Compression using adaptive vector quantization," IEEE Transactions on Communication, Vol. 34, No. 2, pp. 180-187, 1986.
[3] Y. Linde, A. Buzo and R. M. Gray, "An algorithm for vector quantizer design," IEEE Transactions on Communication, Vol. 28, No. 1, 1980, pp. 84 - 95.
[4] T.Kim, "Side match and overlap match vector quantizers for images," IEEE Trans. Image. Process., vol.28 (1), pp.84-95, 1980.
[5] Z.M.Lu, J.S Pan and S.H Sun, "Image Coding Based on classified sidematch vector quantization," IEICE Trans.Inf.&Sys., vol.E83-D(12), pp.2189-2192, Dec. 2000.
[6] Z.M.Lu, B.Yang and S.H Sun, "Image Compression Algorithms based on side-match vector quantizer with Gradient-Based classifiers," IEICE Trans.Inf.&Sys., vol.E85-D(9), pp.1414- 1420, September. 2002.
[7] Chia-Hung Yeh, "Jigsaw-puzzle vector quantization for image compression" , Opt.Eng Vol.43, No.2, pp. 363-370, Feb-2004.
[8] C.H.Hsieh, and J.C Tsai, "Lossless compression of VQ index with search order Coding," IEEE Trans. Image Processing, Vol.5, No. 11, pp. 1579- 1582, Nov. 1996.
[9] Chun-Yang Ho, Chaur-Heh Hsieh and Chung-Woei Chao, "Modified Search Order Coding for Vector Quantization Indexes," Tamkang Journal of Science and Engineering, Vol.2, No.3, pp. 143- 148, 1999.