For using this code need to use signal toolbox and general toolbox in your matlab



Inpainting using sparse regularization. Consider the pepper image with many missing

pixels.

Assume that the image is noisy-free.

(a) Inpaint the image by using orthogonal wavelet sparsity.

(b) Inpaint the image by using a different sparsity prior.



Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than

other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity). -For using this code need to use　signal toolbox　and　general toolbox　in your matlab



Inpainting using sparse　regularization. Consider the pepper image with many missing

pixels.

Assume that the image is noisy-free.

(a) Inpaint the image by using orthogonal wavelet sparsity.

(b) Inpaint the image by using a different sparsity prior.



Based on the outputs, it is clear that the　inpainting　result obtain by　Sobolev is　much　better than

other methods (i.e. Orthogonal　wavelet sparsity and Invariant wavelet sparsity).