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A survey on various image deblurring methods

Hamood, Sabah Fadhel and Mohd. Rahim, Mohd. Shafry and Farook, Omar and Kasmuni, Daud (2016) A survey on various image deblurring methods. Journal of Engineering and Applied Sciences, 11 (3). pp. 561-569. ISSN 1816-949X

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Abstract

Image blur is one of the main types of degradation that reduces image quality. Image deblurring is an attempt to invert blurring process by using mathematical model to get best estimation of latent (sharp) image. Blurring can be modeled mathematically as a convolution process between two functions which are image and Point Spread Function (PSF). PSF can be classified into more than one type depending on the reason for blurring. Gaussian is the type of PSF this study will focus on, and an implementation of such PSF to compare different deblurring methods. Based on the availability of prior knowledge about the degradation kernel (PSF), the deblurring methods can be divided into two major categories which are non-blind deconvolution and blind-deconvolution. Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) are the tools used to estimate the performance of these methods.

Item Type:Article
Uncontrolled Keywords:deconvolution, degradation
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:71227
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:15 Nov 2017 03:52
Last Modified:15 Nov 2017 03:52

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