Research of sparse representation method for ringing suppression
A.V. Umnov, A.S. Krylov

 

National Research University Higher School of Economics, Moscow, Russia,
Lomonosov Moscow State University, Moscow, Russia

Full text of article: Russian language.

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Abstract:
In this paper we suggest an algorithm for ringing suppression based on a sparse representation method. As one of its steps, the suggested method includes image deblurring based on the Wiener-Hunt deconvolution algorithm. The ringing suppression algorithm uses the signals' mutual coherence and sparsities analysis when dealing with the ringing effect based on the sparse representation method. We also analyze the mutual coherence and sparsities for blurred images and images with white Gaussian noise.

Keywords:
ringing effect, sparse representations, mutual coherence.

Citation:
Umnov AV, Krylov AS. Research of sparse representation method for ringing suppression. Computer Optics 2016; 40(6): 895-903. DOI: 10.18287/2412-6179-2016-40-6-895-903.

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