Fractal Color Image Coding Based on Isosceles Triangle Segmentation

Abstract

Based on isosceles triangle segmentation, a new approach of color image compression has been proposed by using correlation among RGB components and fractal image compression algorithm in this paper. The encoding process in this paper is composed of two steps: transforming color image into gray-level image according to correlation among RGB and compressing fractal image based on isosceles triangle segmentation. Compared to the fractal color image compression method based on Jacquin, the approach proposed in this paper has better performance because the use of isosceles triangle segmentation greatly reduced the searching time. Simulation results show that the proposed method can effectively reduce the encoding time and improve compression ratio while remaining the quality of the retrieved image.