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- W2363669496 abstract "Base on the image sparse decomposition,according to the different characters of image and noise in sparse decomposition,proposed a model based on asymmetric atomic atoms library,by algorithm the acquisition of effective de-noising analysis of gray images.Denoising to improve image PSNR values,and has a better visual effect.Will be collected by digital image denoising cloth blank background and the defects after separation in order to more effectively define the defects in order to facilitate the follow-up of the relevant characteristics of extraction.Experimental results show that :in comparison with the wavelet based denoising methods,our learning based algorithm has better denoising ability,keep more detail image information and improve the peak signal to noise ratio." @default.
- W2363669496 created "2016-06-24" @default.
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- W2363669496 date "2011-01-01" @default.
- W2363669496 modified "2023-09-24" @default.
- W2363669496 title "Image Denoising Based on Sparse Sequences and Its Application" @default.
- W2363669496 hasPublicationYear "2011" @default.
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