A STUDY ON REGULARIZATION FUNCTIONS AND REGULATION PARAMETERS IN IMAGE RESTORATION

The aim of this paper is to apply the regularization functions namely TV norm, l1 norm and l0 norm and regularization parameters with these norms in image restoration. This class of problems results from combining a linear observation model with a non-quadratic regularizer. Improved Iterative Shrinkage Thresholding algorithm (IISTA) and Iterative Shrinkage Thresholding algorithm (ISTA) are employed for comparison. These algorithms are performed through a recursive application of two simple procedures such as linear filtering and soft thresholding.