Shearlet Transform Based Efficient Image Compression Using SPIHT

Digital image compression has received significant attention of researchers in the last few decades. Recently, there has been many compression algorithm based on wavelets. Image compression using wavelet based algorithms lead to high compression ratios in comparison to other compression techniques. Inherently, wavelets have a limitation in their ability to capture the edge related information in a given image. It has been well demonstrated by researchers that traditional wavelets are not very effective in dealing with multidimensional signals with distributed discontinuities. In this paper, a novel image compression algorithm based on a combination of Discrete Shearlet Transform (DST) and Set Partitioning In Hierarchical Trees (SPIHT) has been proposed. It has been demonstrated that the performance of the proposed technique is superior to the existing techniques in terms of Peak Signal to Noise Ratio (PSNR) and Computation Time (CT).