Abstract
There are two disadvantages in variational regularization based image restoration model. Firstly, the restored image is susceptible to noise because the diffusion coefficient depends on image gradient. Secondly, in the process of energy minimization, the selection of Lagrange multiplier which is used to balance the regular term and the fidelity term can directly affects the quality of the restored image. To solve the above problems, the multi-resolution feature of multi-scale wavelet is introduced into the energy minimization model and a wavelet based image restoration model is proposed. In the proposed model,
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More From: International Journal of Signal Processing, Image Processing and Pattern Recognition
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