Fractal color image compression using vector distortion measure

Abstract

A fractal monochrome image compression technique proposed by Jacquin is investigated for 24-bit true color image by encoding the RGB components' images independently. To exploit the spectral redundancy in RGB components, the root mean square error distortion measure in grayscale space is extended to 3-dimensional color space for fractal-based color image coding. Experimental results show that a 1.5 compression ratio improvement can be obtained using the vector distortion measure in fractal coding with fixed image partition as compared to separate fractal coding in RGB images. In addition, adaptive fractal color image coding based on quadtree partition is also proposed which can obtain a good trade-off between compression ratio and image fidelity.