A Novel Approach of Image Restoration Based on Segmentation and Fuzzy Clustering
Image restoration is the process of restoring or deblurring an image which had been undergone certain degradations. In this paper, we proposed a method for image restoration based on segmentation and fuzzy clustering. This method consider the similar image pair in which there is a clear part in one image corresponding to degraded one in another. This proposed method firstly partition the image into specified segments and then use fuzzy clustering to cluster the segment based on their peak signal-to-noise ratio (PSNR) value and provide the segments that needs to restore. The performance of the system is evaluated on the basis of PSNR value. The proposed method shows higher efficiency compared to the existing methods.
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