IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 7    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 7,July 2012
Study of Image CompressionTechniques
Full Text(PDF, )  PP.465-469  
Image Compression, Principal Component Analysis Approach, PCA Statistical Approach, PCA Neural Network Approach
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] Subramanya A,”Image Compression Technique,”Potentials IEEE, Vol.20, Issue 1, pp 19-23, Feb-March 2001, David Jeff Jackson & Sidney Joel Hannah.

[2] David Jeff Jackson & Sidney Joel Hannah.,” Compression Techniques,” System Theory 1993, Proceedings SSST’93 25th o u theastem Symposium,pp 513-517, 7-9 March 1993

[3] HongZhang,XiaofeiZhang&Shun Cao.” Analysis & Evaluation of Some Image Compression Techniques,” High Performance Computing in Asia-Pasific Region,2000 Proceedings,4th Int.Conference,Vol.2,pp799-803,14-17 May 2000.Pacific Region,2000 Proceedings,4th Int.Conference,Vol.2,pp799-803,14- 17 May,2000.

[4] Milos Klima, Karel Fliegel, “Image Compression Techniques in the field of security Technology: Examples and Discussion, “Security Technology, 2004, 38th Annual 2004 Intn. Carnahan Conference, pp 278-284,11-14 Oct., 2004

[5] Ming Yang Nickolaos Bourbakis ,” An Overview of Lossless Digital Image Compression techniques,” Circuits & Systems , 2005 48thMidwest Symposium , Vol.2, IEEE ,pp 1099-1102 ,7-10 Aug,2005.

[6] Ismail Avcibas, Nasir Memon, Bulent Sankur, Khalid Sayood, “ A Progressive Lossless / Near Lossless Image Compression Algorithm,”IEEE Signal Processing Letters, vol. 9, No. 10, pp 312- 314, October 2002.

[7] Dr. Charles F. Hall, “ A Hybrid Image Compression Technique,” Acoustics Speech & Signal Processing, IEEE International Conference on ICASSP’ 85, Vol. 10, pp 149- 152, Apr, 1985

[8] Wen Shiung Chen, en- HuiYang & Zhen Zhang, “ A New Efficient Image Compression Technique with Index- Matching Vector Quantization,” Consumer Electronics, IEEE Transactions, Vol. 43, Issue 2, pp 173- 182, May 1997.

[9] David H. Kil and Fances Bongjoo Shin, “ Reduced Dimension Image Compression And its Applications,”Image Processing, 1995, Proceedings, International Conference,Vol. 3 , pp 500-503, 23-26 Oct.,1995

[10] C.K. Li and H.Yuen, “A High Performance Image Transactions on Consumer Electronics, Vol. 42, no. 2, pp 239-243, 2 May 1996.

[11] Shi-Fei Ding, Zhong –Zhi Shi,Yong Liang , Feng-Xiang Jin, “ Information Feature Analysis and Improved Algorithm of PCA,” Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, pp 1756-1761 , 18-21 August,2005

[12] Vo Dinh Minh Nhat, Sung Young Lee, “Two-Dimensional Weighted PCA algorithm for Face Recognition,” Proceedings 2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp 219-223, June 27- 30,2005, Espoo, Finland

Untitled Page