A STUDY OF VARIOUS IMAGE COMPRESSION TECHNIQUES

This paper addresses the area of image compression as it is applicable to various fields of image processing. On the basis of evaluating and analyzing the current image compression techniques this paper presents the Principal Component Analysis approach applied to image compression. PCA approach is implemented in two ways – PCA Statistical Approach & PCA Neural Network Approach. It also includes various benefits of using image compression techniques.

[1]  A. Subramanya,et al.  Image compression technique , 2001 .

[2]  D. H. Kil,et al.  Reduced dimension image compression and its applications , 1995, Proceedings., International Conference on Image Processing.

[3]  N. Memon,et al.  A progressive Lossless/Near-Lossless image compression algorithm , 2002, IEEE Signal Processing Letters.

[4]  D. J. Jackson,et al.  Comparative analysis of image compression techniques , 1993, 1993 (25th) Southeastern Symposium on System Theory.

[5]  Zhong-Zhi Shi,et al.  Information feature analysis and improved algorithm of PCA , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[6]  Zhen Zhang,et al.  A new efficient image compression technique with index-matching vector quantization , 1997 .

[7]  Xiaofei Zhang,et al.  Analysis and evaluation of some image compression techniques , 2000, Proceedings Fourth International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region.

[8]  Sungyoung Lee,et al.  Two-dimensional weighted PCA algorithm for face recognition , 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

[9]  C. K. Li,et al.  A high performance image compression technique for multimedia applications , 1996 .

[10]  Ming Yang,et al.  An overview of lossless digital image compression techniques , 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

[11]  K. Fliegel,et al.  Image compression techniques in the field of security technology: examples and discussion , 2004, 38th Annual 2004 International Carnahan Conference on Security Technology, 2004..

[12]  C. Hall.  A hybrid image compression technique , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.