New Efficient Method for Coding Color Images
Commenced in January 2007
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New Efficient Method for Coding Color Images

Authors: Walaa M.Abd-Elhafiez, Wajeb Gharibi

Abstract:

In this paper a novel color image compression technique for efficient storage and delivery of data is proposed. The proposed compression technique started by RGB to YCbCr color transformation process. Secondly, the canny edge detection method is used to classify the blocks into the edge and non-edge blocks. Each color component Y, Cb, and Cr compressed by discrete cosine transform (DCT) process, quantizing and coding step by step using adaptive arithmetic coding. Our technique is concerned with the compression ratio, bits per pixel and peak signal to noise ratio, and produce better results than JPEG and more recent published schemes (like CBDCT-CABS and MHC). The provided experimental results illustrate the proposed technique that is efficient and feasible in terms of compression ratio, bits per pixel and peak signal to noise ratio.

Keywords: Image compression, color image, Q-coder, quantization, edge-detection.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1107726

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[1] Yan Wang; Shoushun Chen; Bermak, A., “FPGA Implementation of Image Compression using DPCM and FBAR,” in International Conference on Integrated Circuits, (ISIC '07), 2007, pp. 329–332.
[2] Xiwen OwenZhao, Zhihai HenryHe, “Lossless Image Compression Using Super-Spatial Structure Prediction,” IEEE Signal Processing Letters, vol. 17, no. 4, April 2010.
[3] Nelson M. The Data Compression Book. 2nd ed. New York: M&T Books 1995.
[4] Michael B. Martin and Amy E. Bell, “New Image Compression Techniques Using Multiwavelets and Multiwavelet Packets,” IEEE Transactions on Image Processing, vol. 10, no. 4, Apr 2001.
[5] Aaron T. Deever and Sheila S. Hemami, “Lossless Image Compression With Projection-Based and Adaptive Reversible Integer Wavelet Transforms,” IEEE Transactions on Image Processing, vol. 12, no. 5, May 2003.
[6] Nikolaos V. Boulgouris, Dimitrios Tzovaras, and Michael Gerassimos Strintzis, “Lossless Image Compression Based on Optimal Prediction, Adaptive Lifting, and Conditional Arithmetic Coding,” IEEE Transactions on Image Processing, vol. 10, no. 1, Jan 2001.
[7] Eddie Batista de Lima Filho, Eduardo A. B. da Silva Murilo Bresciani de Carvalho, and Frederico Silva Pinagé, “Universal Image Compression Using Multiscale Recurrent Patterns With Adaptive Probability Model,” IEEE Transactions on Image Processing, vol. 17, no. 4, Apr 2008.
[8] Xin Li and Michael T. Orchard “Edge-Directed Prediction for Lossless Compression of Natural Images,” IEEE Transactions on Image Processing, vol. 10, no. 6, Jun 2001.
[9] J. Wang, K.Y. Min, J.W. Chong, “Cost Effective Block Truncation Coding for Color Image Compression,” Advanced in Information Sciences and Service Sciences, vol. 2, no. 3, September 2010, pp.91-98.
[10] K.Sowmyan, A.Siddarth, D.Menaka, “A Novel Approach to Image Compression of Colour Images by Plane Reduction Technique,” World Academy of Science, Engineering and Technology 81, 2011, pp. 292- 295.
[11] Satish Kumar Singh, Shishir Kumar, “Novel adaptive color space transform and application to image compression,” Signal Processing: Image Communication 26, 2011, pp. 662–672.
[12] Arash Abadpour, Shohreh Kasaei, “Color PCA Eigenimages and their Application to Compression and Watermarking”, submitted to Image & Vision Computing 21 August 2007.
[13] Davis. L, “Survey of edge detection techniques, computer vision”, Graph. Image Process, vol. 4, 1975, pp. 248–270.
[14] Canny. J, “A computational approach to edge detection,” IEEE Trans. Pattern Anal. Machine. Intel., vol. PAMI-8, Nov. 1986, pp. 679–698.
[15] Pennebaker, W.B. Mitchell, J.L. Langdon, G.G. Arps Jr., R. B. (1988), “An overview of the basic principles of the Q-Coder adaptive binary arithmetic coder,” IBM Journal of Research and Development, vol. 32, no. 6, 1988.
[16] Amhamed Saffor, Abdul Rahman Ramli, Kwan-Hoong Ng, “A Comparative Study of Image Compression between JPEG and Wavelet,” Malaysian Journal of Computer Science, vol. 14, no. 1, June 2001, pp. 39-45.
[17] Walaa M. Abd-Elhafiez, Wajeb Gharibi, “Color Image Compression Algorithm Based on DCT Blocks,” International Journal of Computer Science Issues, IJCSI, vol. 9, Issue 4, July 2012, pp. 323-328.
[18] F. Douak, Redha Benzid, Nabil Benoudjit “Color image compression algorithm based on the DCT transform combined to an adaptive block scanning,” Int. J. Electron. Commun. (AEU), vol. 65, 2011, pp. 16–26.