Comparative Analysis of SPIHT and Fractal Coding Image Compression Techniques

The objective of the paper is to compare wavelet based image compression algorithm i.e. Set partition in hierarchical tree (SPIHT) and Fractal image compression algorithm. This paper analysis important features of wavelet transform and fractal coding in compression of still images, including the extent to which the quality of image is degraded by the process of compression and decompression. The above algorithms have been successfully implemented in MATLAB. The techniques are compared by using the performance parameters PSNR and MSE. SPIHT uses wavelet sub band decomposition and imposes a quad tree structure across the sub bands in order to exploit the inter-band correlation. Fractal Coding is new method of lossy image compression. Fractal image compression (FIC) is based on the partitioned iterated function system (PIFS) which utilizes the self-similarity property in the image to achieve the purpose of compression.