An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization

Total variation regularization has good performance in noise removal and edge preservation but lacks in texture restoration. Here we present a texturepreserving strategy to restore images contaminated by blur and noise. According to a texture detection strategy, we apply spatially adaptive fractional order diffusion. A fast algorithm based on the half-quadratic technique is used to minimize the resulting objective function. Numerical results show the effectiveness of our strategy.