Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression

Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression

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The new method for combining semisoft thresholding rules during wavelet-based data compression of images with multiplicative noise is suggested.The method chooses the best thresholding rule and the threshold value using the proposed criteria which provide neflintw-r6mpw the best nonlinear approximations and take into consideration errors of quantization.The results of computer modeling have natio glide on eyeshadow stick shown that the suggested method provides relatively good image quality after restoration in the sense of some criteria such as PSNR, SSIM, etc.