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Inter-Channel Correlation Based Color Image Compression

M. Santhi, Dr.R.S.D. Wahida Banu

Abstract


Most of the color image compression techniques reduce the redundancy between color components (R, G, B) by transforming the color primaries into a de-correlated color space, such as YIQ or YUV. As the human visual system is more sensitive to details in luminance than to details in chrominance, the chrominance components can be compressed at high rate. Instead of de-correlating the color planes, high regional correlation between the components of color images is used as a basis for a new coding technique. The high correlation of color channels implicitly suggests a localized functional relation between the components. It could be used in an alternative compression approach, by approximating subordinate colors as functions of the base color instead of coding each color planes. The 9 by 7 wavelet filter and Set Partitioning in Hierarchical Tree (SPIHT) coding for encoding the base color are used. The linear three channel Discrete Cosine Transform (DCT) is applied to the RGB image to obtain the color channels C1C2C3. Taking C1 as base color and the other two channels are approximated as linear functions of the base color, only two parameters are transmitted for each block N*N of C2 and C3. A significant Peak Signal to Noise Ratio improvement is achieved compared to the traditional coding scheme for the same compression rate. The proposed algorithm allows the reduction of complexity for both coding and decoding of color images.

Keywords


Color Image Coding, Inter-Channel Correlation, Linear Approximation, SPHIT Coding, Wavelet Filter.

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References


J.M.Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE Transaction on Signal Processing, vol.41.pp.3445-3462. Dec.1993.

A.Said and Pearlman, “A new fast and efficient image codec based on set partitioning in hierarchical trees,” IEEE Transaction on Circuits and Systems for Video Technology, vol.6, pp.243-250, June 1996.

Majid Rabbani and Rajan Joshi, “An overview of the JPEG2000 still image compression standard,” Signal Processing: Image Communication, vol.17, pp3-48, 2002.

G.K.Wallce, “The JPEG still picture compression standard.” Communication of the ACM, vol.34, pp.30-44, April. 1991.

J.O.Limb and C.B.Rubinstein, “Plateau coding of the chrominance component of the color picture signals” IEEE Transaction on Communication. Vol.22. pp. 812-820, June 1974

K.Shen and Delp, “Color image compression using an embedded rate scalable approach.” in Proc of IEEE International Conference on Image Processing, Santa Barbara, 1997.

A.A.Kassim and W.S.Lee, “Embedded color image coding using SPIHT with partially linked spatial orientation trees,” IEEE Transactions on Circuits and Systems for video Technology, vol.13, pp. 203-206, Feb. 2003

L.Goffman-Vinopal and Porat, “Color image compression using inter-color correlation”, IEEE International Conference on Image Processing, vol. 32, 2003, pp. 353-356.

E.Gershikov, M.Porat, “Does de-correlation really improve color image compression?” The International Conference on Systems Theory and Scientific Computation (ISTASC05), 2005.

Y.Roterman, M.Porat, “Color image coding using regional correlation of primary colors,” Image Vision Computation, vol 25, pp 637-651, 2007.

Xing San, Hua Cai, and Jiang Li, “Color image compression by using inter-color correlation,” IEEE International Conference on Image Processing, pp. 3117-3120, 2006.

E.Gershikov, E.Lavi-Burlak and M.Porat, “Correlation based approach to color image compression”, Elsevier Signal Processing: Image Communication 22 (2007), pp. 719-733.

A.Islam and W.A.Pearlman, “ An embedded and efficient low-complexity hierarchical image coder,” Visual Communications and Image Processing’99, Proceedings of SPIE, vol. 3653,pp. 294-305,Jan 1999.


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