GA based Blind Deconvolution Technique of Image Restoration using Cepstrum Domain of Motion Blur

Ramteke Mamta   and Maitreyee Dutta

doi:10.17485/ijst/2017/v10i16/114303

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GA based Blind Deconvolution Technique of Image Restoration using Cepstrum Domain of Motion Blur

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2017/v10i16/114303

Year: 2017, Volume: 10, Issue: 16, Pages: 1-8

Original Article

GA based Blind Deconvolution Technique of Image Restoration using Cepstrum Domain of Motion Blur

Ramteke Mamta^1* and Maitreyee Dutta²

¹Department of Computer Science, Chandigarh Engineering College, Chandigarh – 160019, India; [email protected] ²Department of Electronics and Communication Engineering, NITTTR Chandigarh, Chandigarh – 160019, India; [email protected]

*Author for correspondence Ramteke Mamta Department of Computer Science, Chandigarh Engineering College, Chandigarh – 160019, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: In this paper, the image restoration technique is designed based on the Genetic algorithm (GA) and cepstrum filtering. Methods/Statistical Analysis: We used the cepstrum method to find out motion blur parameters angle and length of spectrum according to the observed image for the cepstrum filtering. Findings: The GA as an optimization strategy can adjust the parameters and provide an appropriate value of theta and length. Optimized values of theta and length help to compute the PSF which is close to the real value of PSF as it increases the PSNR. The experimental results demonstrate that use of optimization technique in cepstrum filtering improve the PSNR of the restored image, but encounters some ringing effect.

Keywords: Cepstrum, Genetic Algorithm, Image Restoration, Parameter Estimation