Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression
1 Ryazan State Radio Engineering University, 390005, Ryazan, Russia
2 National Research University “Moscow power engineering Institute”, 111250, Moscow, Russia
3 Southwest State University, 405000, Kursk, Russia
4 Tomsk State University, 634050 Tomsk, Russia
5 Tomsk Polytechnic University, 634050, Tomsk, Russia
* Corresponding author: firstname.lastname@example.org
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 the best nonlinear approximations and take into consideration errors of quantization. The results of computer modeling have shown that the suggested method provides relatively good image quality after restoration in the sense of some criteria such as PSNR, SSIM, etc.
© The Authors, published by EDP Sciences, 2016
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