Publication Type : Journal Article
Source : Journal of Survey in Fisheries Sciences Volume 10 Issue 3S Pages 1249-1259, 2023
Url : http://sifisheriessciences.com/journal/index.php/journal/article/view/133
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2023
Abstract : In the modern era, images are one of the most important media used to store, transmit and analyze the information within it. True images often get degraded during the acquisition process due to environmental disturbances. Image Restoration techniques can be applied to restore such images to extract the information contained within the original data. Over the past years, several restoration techniques have been developed. In this paper, analysis of some of those techniques which are Wiener Filter, Richardson-Lucy Algorithm, Inverse Filter and Median Filter are performed for blur and noisy blur images. These methods have been utilized to restore the deteriorated images. Their performances are compared using factors like Power Signal to Noise Ratio (PSNR), Structural Similarity Index (SSI), and Mean Squared Error (MSE). These algorithms have been implemented on MATLAB (2020a) and the results show that Wiener Filter gives the best results for even blurred and noisy images.
Cite this Research Publication : Grace Kuriakose, Remya Ajai AS, "Performance Analysis of Image Restoration Filters for Textual Images", Journal of Survey in Fisheries Sciences Volume 10 Issue 3S Pages 1249-1259, 2023