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Fractal image compression explores the self-similarity property of a natural image and utilizes the partitioned iterated function system (PIFS) to encode it. This technique is of great interest both in theory and application. in this paper a new technique is proposed that improves fractal image compression by use of no-search scheme and local search with honey bee mating optimization. This method...
Fractal image encoding is attractive due to its potential high compression ratio, fast decompression and multi-resolution properties. However, the encoding time is computationally intensive. In this paper, a new method is proposed to reduce the encoding time based on computing the gray level difference and normal variance of domain and range blocks. Proposed method only compares those domain blocks...
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