Sparse Transform Matrix at Low Complexity for Color Image Compression

International Journal of Computer Trends and Technology (IJCTT)          
© - June Issue 2013 by IJCTT Journal
Volume-4 Issue-6                           
Year of Publication : 2013
Authors :Dr. K. Kuppusamy, R.Mehala


Dr. K. Kuppusamy, R.Mehala"Sparse Transform Matrix at Low Complexity for Color Image Compression"International Journal of Computer Trends and Technology (IJCTT),V4(6):1615-1620 June Issue 2013 .ISSN Published by Seventh Sense Research Group.

Abstract: -Image Processing is a powerful era of the Modern Digital Technology. Compression is a process of minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. In this paper, we have discusses about Digital Image Compression for the good performance complexity of still imagery and the comparative study of several algorithms. In future we are going to propose a new plan to provide a reduction in computation over the sparse matrix and using the various test images for the entropy coding and quality scalability is enabled by simply truncating the generated bit rate distortion performance.


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Keywords —image compression, sparse matrix, entropy coding, quality scalability, bit rate etc.