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• W2367485514 abstract "CL multiwavelet prefilter based on genetic algorithms is presented. In this method the fitness functions were selected for the different purposes of image analysis and synthesis, which were used to construct the prefilers of images for CL MWT(MultiWavelet Transform) in proper constrained condition. If the purpose is to compress images, the fitness function is opted and then the prefiler can be obtained adaptively via genetic algorithm for different images. It is shown that the image compression ratio can be improved if the prefilter is used. And if the purpose is to magnify images through CL MWT, the prefilter can be gained in the same way. Moreover, the quality of the image after magnified is superior to other methods. The result simulated by computer suggests that the meansquare error of the image magnified in this way, compared with the process of linear interpolation, is reduced by 48 percent and 31 percent in comparison with the means of weight parabola interpolation. " @default.
• W2367485514 created "2016-06-24" @default.
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• W2367485514 date "2003-01-01" @default.
• W2367485514 modified "2023-09-25" @default.
• W2367485514 title "CL multiwavelet pre-filter based on genetic algorithms" @default.
• W2367485514 hasPublicationYear "2003" @default.
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