Image recovery processor utilizing framework for generating sparsity regularizers for image restoration

Abstract

An image restoration processor includes an image receiver, a matrix converter, a framework memory, a modifier, a matrix decomposer, and an image reconstructor. The image receiver receives one or more degraded images. The matrix converter reshapes image data of the one or more degraded images into one or more target matrices. The framework memory stores a framework for generating one or more sparsity-inducing regularizers. The modifier reads the framework memory and applies the framework to modify an M-estimator and accordingly output a hybrid M-estimator as well as the corresponding sparse regularizer. The matrix decomposer receives the one or more target matrices and the sparse regularizer and to apply the sparse regularizer to RPCA via decomposing one of the one or more target matrices into a sum of low-rank and sparse matrices. The image reconstructor integrates outcomes of decomposition from the matrix decomposer to form one or more recovered images.