Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm

الملخص EN

We introduce a new general TV regularizer, namely, generalized TV regularization, to study image denoising and nonblind image deblurring problems.

In order to discuss the generalized TV image restoration with solution-driven adaptivity, we consider the existence and uniqueness of the solution for mixed quasi-variational inequality.

Moreover, the convergence of a modified projection algorithm for solving mixed quasi-variational inequalities is also shown.

The corresponding experimental results support our theoretical findings.