H. T. Chang, C. J. Kuo. Finite-state fractal block coding of images. In Proc. ICIP-96 IEEE International Conference on Image Processing, Lausanne, 1996.
An image compression scheme based on the finite-state fractal block coding (FS-FBC) is proposed in this paper. Since the FS algorithm has been successfully employed by the vector quantization (VQ) techniques and there are many similarities between VQ and FBC scheme, we employ the FS algorithm on FBC technique to determine the fractal codes. The next-state functions for the domain pool size, contrast scaling factor, isometry, and mean are designed. In computer simulation, we first indepedently investigate the FS effect of each parameter and then combine all methods to test the overall effect. We obtain a reconstructes Lena image with 33.9 dB PSNR at 0.42 bit/pixel, while theresult of original FBC scheme is 31.4 dB at 0.6 bit/pixel. The simulation results show that our FS methods can be successfully employed on the FBC technique to reduce the bit rate and the image is still preserved.
Download paper:
Adobe PDF
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
@InProceedings{ChKu96,
Author = {Chang, H. T. and Kuo, C. J.},
Title = {Finite-state fractal block coding of images},
BookTitle = {Proc. ICIP-96 IEEE International Conference on Image Processing},
Address = {Lausanne},
Month = {},
Year = {1996}
}