Principles Of Image Deblurring

Alexandra Ghecenco · RePEc: Research Papers in Economics · 2014

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.

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