Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
In this paper, we propose a unified loop filter for highperformance video coding, which suppresses the quantization noise optimally and improves the objective and subjective qua...
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
One of the key problems of restoring a degraded image from motion blur is the estimation of the unknown shiftinvariant linear blur filter. Several algorithms have been proposed ut...
This paper describes a novel ltering method to reconstruct an arbitrarily focused image from two dierently focused images. Based on the assumption that image scene has two layers...