Please use this identifier to cite or link to this item: https://idr.l4.nitk.ac.in/jspui/handle/123456789/8948
Title: Restoration of space variant motion blurred images using adaptive particle filter techniques
Authors: Thakur, A.
Benny, J.
Butola, B.S.
Mishra, D.
Issue Date: 2015
Citation: 2015 4th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2015, 2015, Vol., , pp.-
Abstract: Many of the images taken in real world suffer from imperfections in the imaging and capturing process and thus represent a degraded version of the original scene. Therefore the restoration of degraded images is an important task in image processing. In this paper we concentrated on space variant motion blurring methods for removing blur and noise from the recorded images. The proposed method uses adaptive particle filter techniques. The performance of algorithm depends on number of particles used for restoration. The performance of proposed algorithm is verified using peak signal to noise ratio (PSNR). � 2015 IEEE.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/8948
Appears in Collections:2. Conference Papers

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