Deconvolution using singular integral regularization and curvelet shrinkage

A special inverse problem, image deconvolution/deblurring is considered in this Letter by combining a singular integral regularization with a constrained curvelet shrinkage. The proposed technique is quite efficient and stable for recovery of texture when the observed image is contaminated with noise. Numerical experiments illustrate the good performance in comparison to some existing methods.