Y. H. Moon, K. S. Son, H. S. Kim, Y. S. Kim, J. H. Kim. Fractal image compression using human visual system. In Proceedings from IS&T/SPIE 1995 Symposium on Electronic Imaging: Science & Technology, Volume 2418: Still-Image Compression, 1995.
In the general fractal image compression each range block is approximated by a contractive transform of the matching domain block under the mean squared error criterion. In this paper, we propose a fractal image compression algorithm with perceptual distortion measure rather than the mean squared error. In the perceptual distortion measure, the background brightnesssensitivity and edge sensitivity are used. To obtain the sensitivity of the bachground brightness for each pixel, the average value of the neighborhoods is calculated and applied to a quadratic function. In the edge sensitivity for each pixel, such of the differences in the neighborhoods is calculated and applied to a nonlinear function. The perceptual distortion measure obtained by the multiplications of the background brightness sensitivity, the edge sensitivity, and the error between the range block and the transformed domain block. For the range blocks having large distortion, they are splitted and the same algorithm is applied for smaller blocks. Compared to the method with the mean squared error measure, 10 \% compression ratio improvement under the same image quality is achieved.
@InProceedings{MSKKK95,
Author = {Moon, Y. H. and Son, K. S. and Kim, H. S. and Kim, Y. S. and Kim, J. H.},
Title = {Fractal image compression using human visual system},
BookTitle = {Proceedings from IS&T/SPIE 1995 Symposium on Electronic Imaging: Science & Technology},
Volume = {2418: Still-Image Compression},
Year = {1995}
}