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IJSTR >> Volume 1 - Issue 5, June 2012 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



An Spiht Algorithm With Huffman Encoder For Image Compression And Quality Improvement Using Retinex Algorithm

[Full Text]

 

AUTHOR(S)

A. Mallaiah, S. K. Shabbir, T. Subhashini

 

KEYWORDS

 

ABSTRACT

Traditional image coding technology mainly uses the statistical redundancy between pixels to reach the goal of compressing. The research on wavelet transform image coding technology has made a rapid progress. Because of its high speed, low memory requirements and complete reversibility, digital wavelet transform (IWT) has been adopted by new image coding standard, JPEG 2000. The embedded zero tree wavelet (EZW) algorithms have obtained not bad effect in low bit-rate image compression. Set Partitioning in Hierarchical Trees (SPIHT) is an improved version of EZW and has become the general standard of EZW So, In this paper we are proposing DWT and SPIHT Algorithm with Huffman encoder for further compression and Retinex Algorithm to get enhanced quality improved image.

 

REFERENCES

[1] Wei Li, Zhen Peng Pang “SPIHT Algorithm with Huffman Encoding” Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on. 22 april 2010.

[2] Ming Hao, Xingbo Sun “A modified Retinex Algorithm based on Wavelet Transformation”, 2010 Second International Conference on Multi Media and Information Technology.

[3] FAN Qi-bin. “Wavelet analysis”. Wuhan: Wuhan University Press, 2008.

[4] Cheng Li-chi, Wang Hong-xia, Luo Yong. “Wavelet theory and applications” Beijing: Science Press, 2004(Chinese).

[5] H.Wang, S.J Li, Y.Wang, “Face Recognition under Varying Lighting Conditions Using Self Quotient Image.Proc”. IEEE Intl Conf. Automatic Face and Gesture Recognition, 2004.

[6] Rafael C. GONZALEZ Richard E. WOODS. “Digital image processing”: second ed [M]. Beijing Publishing House of Electronics Industry 2002.

[7] Amir SAID William A.PEARLMAN . “A new fast and efficient image codec based on set partitioning in hierarchical trees [J]”. IEEE Transactions On Circuits and Systems for Video Technology 1996.

[8] J. M. SHAPIRO. “Embedded image coding using zero tree of wavelets coefficients [J]”. IEEE Trans. Signal Processing 1993.