Most image restoration methods in astronomy rely upon probabilistic tools that infer a best solution for a deconvolution problem. They achieve good performances when the Point Spread Function (PSF) is spatially invariable ...

Image restoration is a research field that attempts to recover a blurred and noisy image. Although we have one-step algorithms that are often fast for image restoration, iterative formulations allow a better control of the ...

This thesis presents several contributions to a variety of image processing problems, mostly related to the recovery and restoration of image content information lost during the image formation process. These sort of ...

The resolution enhancement of an image is always desirable, independently of its objective, but mainly if the image has the purpose of visual analysis. The hardware development for increasing the image resolution still has ...

The problem of restoring a signal or image is often tantamount to approximating the solution of a linear inverse ill-posed problem. In order to find such an approximation one might regularize the problem by penalizing ...

Image acquisition processes usually add some level of noise and degradation, thus causing common problems in image restoration. The restoration process depends on the knowledge about the degradation parameters, which is ...

Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search ...

Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search ...

Image processing is an area that has received considerable attention as a result of the evo- lution of digital computing technology. One of the main techniques of image processing concerns its restoration, which consists ...