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- W2388105716 abstract "The auto-coding method of fractal image based on the theory of iterated function system, has the advantage of high compression ratio and fast decoding with resolution-independent. But the computational complexity of the encoding process prevents the progress of fractal image coding. By analyzing the distribution of the coefficients after wavelet transformation, the paper proposed a new fractal coding based on wavelet transformation, which differs from the traditional method of fractal coding in the wavelet domain. According to the characters of energy concentration after wavelet transformation, the algorithm introduces part wavelet transformation on the basis of Jacquin's fractal coding method and replaces the original image with its low-frequency image to compute the matching process between domain blocks and range blocks, which speeds up the searching process and quickens the process of encoding. From the results of the experiments, the algorithm enhances the coding speed by more than 100 times, compared with the traditional Jacquin method, while the peak signal ratio loses less." @default.
- W2388105716 created "2016-06-24" @default.
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- W2388105716 date "2004-01-01" @default.
- W2388105716 modified "2023-09-26" @default.
- W2388105716 title "Fractal Coding Based on Wavelet for Image Compression" @default.
- W2388105716 hasPublicationYear "2004" @default.
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