Ten lectures on wavelets
An introduction to wavelets
Adaptive regularized constrained least squares image restoration
IEEE Transactions on Image Processing
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In noise removal by the approach of regularization, the regularization parameter is global. Constructing the variational model min g 驴f - g驴L2(R)2 +驴R(g), g is in some wavelets space. Through the wavelets pyramidal decompose and the different time-frequency properties between noise and signal, the regularization parameter is adaptively chosen, the different parameter is chosen in different level for adaptively noise removal.