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Abstract: Many digital image applications rely on the image quality.
Unfortunately, images often are degraded by noise and blur during the formation,
transmission, and recording processes. Hence, image restoration is a necessary processing
step. Many current image restoration methods lose edge information while removing the
defects. This work focuses on developing accurate mathematical models ... read more