Adaptive parameter estimation for total variation image denoising

In this paper, we propose an adaptive parameter estimation algorithm for total variation image denoising. The de-noising framework consists of two-stage regularization parameter estimation. Firstly, we consider the fidelity of denoised image, and model a convex optimization function of denoised result. Under the results of fast gradient projection (FGP… CONTINUE READING