The New Progress in Research Approach of Fractal Image Compression
Mingshui Li
Abstract
Mingshui Li
Abstract
The fractal image compression is a lossy encoding method which is based on Iterated Function System (IFS) and self-similarity characteristics. In recent years, fractal image compression becomes an attractive method for its ability of high compression ratio. There are still many problems in the field need to be solved for the difficulty to realize the IFS encoding automatically. In this paper, a survey of theory and realization of fractal image compression is presented. The compression methods of fractal image sequences are summarized. The representative improving encoding methods are reviewed and their distinguishing characteristics are identified. Finally the existing problems of fractal image compression and possible solution strategies are discussed.
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The fractal image compression is a lossy encoding method which is based on Iterated Function System (IFS) and self-similarity characteristics. In recent years, fractal image compression becomes an attractive method for its ability of high compression ratio. There are still many problems in the field need to be solved for the difficulty to realize the IFS encoding automatically. In this paper, a survey of theory and realization of fractal image compression is presented. The compression methods of fractal image sequences are summarized. The representative improving encoding methods are reviewed and their distinguishing characteristics are identified. Finally the existing problems of fractal image compression and possible solution strategies are discussed.
Key concepts: Fractal compression, Fractal transform, Iterated function system, Lossy compression, Fractal, Image compression, Data compression, Computer science