Image Compression Using Radon Transform With DCT:Performance Analysis

Image compression is the significant research area in the field of image processing. The Transform selection in image compression has played a vital 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 have been devoted in the literature but still there exist scope of yielding better compression with high quality in image reconstruction. Existing image compression technique using DWT with Biorthogonal filtering accommodates less compression ratio with poor image quality of reconstructed image. With that concern, image compression using Radon Transform with DCT (Discrete Cosine Transform) is proposed in this paper that contribute different dimension to the image compression. The image compression using Radon Transform with DCT accords best performance whereas the image compression using DWT with Bi-orthogonal filtering performs the least. Experimental evaluation has been effectuated to arrive at the conclusion that better results for PSNR and compression ratio is used for selecting best image compression technique.