Fractals everywhere
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Fractal image compression: theory and application
Fractal image compression: theory and application
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Chaos and Fractals
Technique for fractal image compression using genetic algorithm
IEEE Transactions on Image Processing
Image coding based on a fractal theory of iterated contractive image transformations
IEEE Transactions on Image Processing
Robust estimation of parameter for fractal inverse problem
Computers & Mathematics with Applications
Hybrid fractal image coding with quadtree-based progressive structure
Journal of Visual Communication and Image Representation
Image indexing using the color and bit pattern feature fusion
Journal of Visual Communication and Image Representation
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In order to solve the high complexity of the conventional encoding scheme for fractal image compression, a spatial correlation hybrid genetic algorithm based on the characteristics of fractal and partitioned iterated function system (PIFS) is proposed in this paper. There are two stages for the algorithm: (1) Make use of spatial correlation in images for both range and domain pool to exploit local optima. (2) Adopt simulated annealing genetic algorithm (SAGA) to explore the global optima if the local optima are not satisfied. In order to avoid premature convergence, the algorithm adopt dyadic mutation operator to take place of the traditional one. Experiment results show that the algorithm convergent rapidly. At the premise of good quality of the reconstructed image, the algorithm saved the encoding time and obtained high compression ratio.