Performance Assessment of Reclamation Methods for various Distorted Images

Abstract

Objectives: Performance Assessment of Reclamation Methods aims to analyse the various performance parameters of reclamation techniques for a distorted image. Due to rapid modernization and advancement of technology in last decades, the importance and need of reclamation of image is rapidly increasing and hence need for better way to reclaim an image in best way possible is to be determined. Methods/Statistical Analysis: An approach has been made in this paper to examine that which reclamation method is best for which kind of degraded image (type of noise introduced to image). Basic approach is to find out how filters can be used for restoring or reclaiming an image in such a way that the reclaimed image's maximum quality is achieved, because image processing is one of the major feature in Artificial Intelligence, which has emerged as huge and powerful field in technology. Findings: By comparing original image's quality and reclaimed image's quality we can determine which reclamation method suits for which kind of noise and hence the reclamation of image will get easier. Application/Improvements: This paper helps selecting the most preferable and efficient reclamation method in restoring degraded images.