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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 2    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 2,February 2012
A Novel Algorithm of Super-Spatial Structure Prediction for RGB Colourspace
Full Text(PDF, )  PP.84-88  
Author(s)
C.S.Rawat, Seema G Bhateja, Dr. Sukadev Meher
KEYWORDS
Bit Rate , Compressed Image, Context-based adaptive lossless image coding (CALIC), lossless image compression, RGB Colorspace, structure components, super spatial structure prediction.
ABSTRACT
In image compression the key challenge is to efficiently encode and represent high frequency image structural components such as patterns, edges and textures. In this work, we develop an efficient image compression scheme based on super-spatial prediction of structural units. This so-called similar structure block prediction is motivated by motion prediction in video coding, attempting to find an optimal prediction of structure components within previously encoded image regions.
References
[1] X. Wu and N. Memon, ―Context-based, adaptive, lossless image coding,‖ IEEE Trans. Commun., vol. 45, no. 4, pp. 437–444, Apr. 1997.

[2] M. J. Weinberger, G. Seroussi, and G. Sapiro, ―The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS,‖ IEEE Trans. Image Process., vol. 9, no. 8, pp. 1309–1324, Aug. 2000.

[3] T. Wiegand, G. J. Sullivan, G. Bjntegaard, and A. Luthra, ―Overview of the H.264/AVC video coding standard,‖ IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 7, Jun. 2003.

[4] B. Wohlberg and G. de Jager, ―A review of the fractal image coding literature,‖ IEEE Trans. Image Process., vol. 8, no. 12, pp. 1716–1729, Dec. 1999.

[5] Xiwen Zhao and Zhihai He,‖ Local Structure Learning and Prediction for Efficient Lossless Image Compression‖, 2010 IEEE, pp. 1286- 1289.

[6] Xiwen OwenZhao, and Zhihai HenryHe,‖Lossless Image Compression Using Super-Spatial Structure Prediction‖, IEEE SIGNAL PROCESSING LETTERS, VOL. 17, NO. 4, APRIL 2010, pp. 383-386.

[7] David Salomon, “Data Compression: A Complete Reference”,3rd Edition, Springer, 2007.

[8] Khalid Sayood, “Introduction to Data compression”, 3rd Edition, Elseiver Publications, 2006.

[9] X. Wu, “Lossless compression of continuous-tone images via context selection, quantization, and modeling”, IEEE Trans. Image Processing,Vol.6, No.5 (pp.656-664) 1997.

[10] Still Image and Video Compression with Matlab, by K.S. Thyagarajan, a John Wiley & Sons, Inc, Publication.

[11] Hao Hu, “A Study of CALIC”, A paper submitted to the Computer Science & Electrical Engineering Department at University of Maryland Baltimore County, December2004.

[12] Grzegorz Ulacha, and Ryszard Stasiński, “Effective Context Lossless Image Coding Approach Based on Adaptive Prediction”, World Academy of Science, Engineering and Technology, 2009.

[13] F. Wu and X. Sun, “Image compression by visual pattern vector quantization (VPVQ),” in Proc. IEEE Data Compression Conf. (DCC’2008), pp. 123–131.

[14] Mauro Barni, “Document and Image Compression”, Taylor and Francis, 2006.

[15] Rafael Gonzalez & Richard Woods, “Digital Image Processing using MATLAB”, Tata McGraw Hill, 2010.

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