Color Image Data Compression in Multimedia

Immense color image data has to handle in multimedia processing, so huge storage space is required. To overcome the problem of color image data storage management, color image data compression is necessary. This paper presents the approach based on Fractal coding which falls in the lossy compression category. Proposed approach firstly, separates the three color planes of RGB color space images and then the grey level Fractal Coding algorithm is applied on individual planes independently. Proposed approach is implemented for the numerous indoor and outdoor color images. Implementations are carried out with different size of domain blocks and range blocks. Encoding and decoding time, image compression ratio and peak signal to noise ratio parameters are used for the performance evaluation. Results are compared and represented with the performance graph. Implementation results show that smaller compression ratio with higher reconstruction quality can be achieved with smaller domain blocks and vice versa. The proposed approach can be useful according to the individuals' requirement of compression ratio and image reconstruction quality for the huge color image database in multimedia. The encoding time of proposed approach is more in comparison with the decoding time but more competitive with respect to the compression ratio in comparison with the existing color image compression standards.