Description

Image compression is the widely focusing research area in the field of image processing. The transform selection in image compression has played a significant role since the size of the resultant compressed image should be reduced in comparison with the original image. Numerous image compression standards based on wavelet transform has been devoted in the literature but still there exist scope of yielding better compression with high quality in image reconstruction. With that concern, image compression using radon transform with DCT (Discrete Cosine Transform) is presented in this paper that contribute different dimension to the image compression. This paper aims at the analysis of two different image compression techniques using DWT (Discrete Wavelet Transform) with biorthogonal filtering and radon transform with DCT. In last, comparative analysis of these two techniques is furnished to evaluate the performance in terms of PSNR. The image compression using radon transform with DCT accords best performance whereas the image compression using DWT with biorthogonal filtering performs the least. Experimental evaluation has been effectuated to arrive at the conclusion that better results for PSNR is obtained by selecting best image compression technique.