• T. Venkata Ramana
• Dr. S. A. K. Jilani

With the constraint of transmission capacity and information rate for exchange, the need of great importance is the reducing the size of information. Particularly for pictures and recordings, the information devoured is exceptionally high and requires extremely huge capacity supports. the compression of information is one of the solution to confine size of information that is transmitted at once. The picture compression may be possible either without loss of information or with some acceptable loss in information. Lossy Image Compression Techniques have developed. Among them, some can be connected on the first picture to pack the information contained in it. In this paper the examination is made against different techniques like DWT-discrete wavelet transform, DCT-discrete cosine transform, hybrid methods and SA-DWT. The parameters measured for examination were the image compression ratio(ICR), peak signal to noise ratio(PSNR) and mean square error(MSE). The programs developed in MATLAB and were checked for various pictures. As the video is a changed over type of a succession of pictures converged as edges, a similar calculation can be connected to video compression.

Image compression ratio (ICR), mean square error(MSE), peak signal to noise ratio(PSNR), DWT, DCT, SA-DWT, SA-DCT.

"Comparative analysis of image and video compression algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.339-343, May-2019, Available :http://www.jetir.org/papers/JETIR1905M56.pdf

"Comparative analysis of image and video compression algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp339-343, May-2019, Available at : http://www.jetir.org/papers/JETIR1905M56.pdf