Fractal color image compression on a pseudo spiral architecture

This paper presents a new approach for fractal color image compression on Pseudo Spiral Architecture. Fractal coding is a relatively recent method for still-image compression. However, fractal coding is used for gray level images through rectangular domain and range blocks. Although new approaches have been proposed that compress gray level and color images. The proposed approach, firstly, determine the pixel's trichromatic coefficients within the homogeneous blocks formed by hierarchical partitioning method. Then, each block is represented by its mean value of the pixel's trichromatic coefficient ratios, and just a one-plane image is composed. One-plane image in traditional square structure is represented in Pseudo Spiral Architecture for compression. On this Spiral Architecture image fractal gray level image coding algorithm is applied, with median as the basis to form the codebook blocks, to get encoded image. Due to the minimization of color planes from three to one and Spiral Architecture, the proposed approach is faster than other fractal coding methods. The use of median gives rise to new dimension for calculation. Experimental results show the effectiveness and potential of this approach for various color image database processing applications.