Abstract

This Research work particularly deals with fractal image compression with an idea to minimize the computational\nrequirements to achieve enhanced reproduction of image quality. Problems such as use of fractal geometry for image\ncompression, extension of this concept for color image compression, encoding of video sequences in compression,\napplication of the concept of compression for remote-sensed images, use of wavelets in fractal compression algorithm for\nenhanced performance, and extension of wavelet-based fractal concept for compression of textured images have been\ndiscussed in this study. The concept of wavelet is combined with this to enhance the performance. Fractal image\ncompression is desirable because of its resolution independence, faster decoding and competitive rate distortion curves.\nHowever, the main drawbacks in the Fractal Image compression method, such as longer computation time for encoding and\nheavy computation for full and exhaustive search, have been alleviated using Partitioned Iterated Function\nSystems in this study.