Component Fractal Coding of Color Images

In this paper, the fractal methods of compressing still images are investigated for transmission in multimedia applications. A modified search algorithm for similar blocks in the image is proposed, which differs from the existing by parallel simultaneous comparison of rank blocks in all domain-based indicators. Domain and rank blocks are described by feature vector. The feature vector includes the mean deviation in the block, the asymmetry in the block, the difference in contrast between the pixels in the block, the average deviation of the pixel brightness within the domain (rank) block. The deviation error allows you to adjust the compression ratio. If the desired quality is not achieved, then continue to reduce the size of or rank, or domain blocks. The code sequence is formed from the brightness values, color difference signals of the rank block, its feature vector, and block addresses that are similar to it. The dependences of the compression ratio and the signal-to-noise ratio on the standard deviation of the average brightness of the rank blocks of the descendants on the brightness of the original rank block are obtained.