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This paper proposed the approach based on Fractal coding which falls in the lossy compression category. Fractal coding is generally used for grey level images. Proposed methodfirstly separate the three planes of RGB color space images and then the Fractal Coding algorithm is applied on individual planes independently. Extensive experiments are carried out with different size of domain blocks and range blocks on well-known color space images from literature. Results are analyzed with respect to the time, image compression ratio and image reconstruction quality. Implementation results shows that the greater compression ration can be achieved with large domain blocks but more trade off in image quality. Results are compared and represented with the performance graph. The proposed method can be useful for the huge database applications where the image reconstruction quality does not matter much. Time complexity of the proposed method is in the order ofn2.

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No abstract

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.