Abstract
Image restoration has huge impact on getting back the original image which is damaged due to multiple reasons. There are several image processing techniques available for image restoration. This paper aims to review latest image restoration techniques. Various application areas of image restoration has been explored such as medical images, forensic science, social media, astronomical images, satellite images and the list may go on. This study has been undertaken to investigate the determinants of image restoration using various approaches. Through newly optimized procedures, there is hope to develop new methodology that raises the peak signal to noise ratio (PSNR) value of the recovered image, resulting in more accurate and efficient results.
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