PRINCIPLES OF IMAGE DEBLURRING

Alexandra Ghecenco ()
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Alexandra Ghecenco: "Politehnica" University of Bucharest, 060042 Bucharest, Romania

Journal of Information Systems & Operations Management, 2014, vol. 8, issue 2, 488-497

Abstract: This paper presents a method for deblurring distorted images using a known convolution kernel. Pre-existing methods and algorithms are presented, each with its advantages and disadvantages. In this implementation, Gaussian kernels are considered for blurring. The algorithmic approach is detailed and the sampled results show the effectiveness of the chosen method.

Keywords: image deblurring; non-blind image deconvolution (search for similar items in EconPapers)
Date: 2014
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http://www.rebe.rau.ro/RePEc/rau/jisomg/WI14/JISOM-WI14-A27.pdf (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:8:y:2014:i:2:p:488-497

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