Enhanced Image Compression Using Fractals and Principle Component Analysis

Fractal image compression is a lossy approach that makes efficient use of the picture's inherent redundancy using affine transformations. It has been discovered that the traditional method of searching for domain blocks in fractal images requires a considerable amount of encoding time. As a result, in order to raise the speed-up ratio, a hybrid architecture that combines fractals and the discrete cosine transform (DCT) with PCA has been developed in this study. The proposed hybrid design cuts down on the amount of time needed by employing a relatively small number of components, and it offers compression ratios and quality levels that are satisfactory.