Yoshiyuki Ito, Tadahiko Kimoto, Toshiaki Fujii, Masayuki Tanimoto. Fractal image coding with high error tolerance. In Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, Morley M. Blouke, John Canosa, Nitin Sampat (eds.), Volume 4306, Pages 383-392, May 2001.
Image compression is needed to communicate image effectively. Especially, mobile communication needs high compression. It also needs high error tolerance because highly compressed data re strongly influenced by transmission errors. We found that the relation between the range block and domain block can also be applied well to the extended range blocks and domain blocks in most cases in fractal coding based on Iterated Function System. We use this feature of fractal coding and propose a new robust coding scheme, which has good error tolerance. We perform the fractal compression experiments based on the prosed scheme to verify the effectiveness of this scheme. Computationally experiments show that it has nearly the same performance as conventional scheme when errors do not occur and achieve large improvement of image quality without increasing the amount of the data when errors occur
@InProceedings{ItoKFT01,
Author = {Ito, Yoshiyuki and Kimoto, Tadahiko and Fujii, Toshiaki and Tanimoto, Masayuki},
Title = {Fractal image coding with high error tolerance},
BookTitle = {Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II},
editor = {Blouke, Morley M. and Canosa, John and Sampat, Nitin},
Volume = {4306},
Pages = {383--392},
Series = {Proc. SPIE},
Month = {May},
Year = {2001}
}