Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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FIXED-POINT-LIKE METHOD FOR A NEW TOTAL VARIATION-BASED IMAGE RESTORATION MODEL

  • WON, YU JIN (Department of Mathematics, College of Natural Sciences, Chungbuk National University) ;
  • YUN, JAE HEON (Department of Mathematics, College of Natural Sciences, Chungbuk National University)
  • Received : 2020.05.26
  • Accepted : 2020.07.30
  • Published : 2020.09.30
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Abstract

In this paper, we first propose a new total variation-based regularization model for image restoration. We next propose a fixed-point-like method for solving the new image restoration model, and then we provide convergence analysis for the fixed-point-like method. To evaluate the feasibility and efficiency of the fixed-point-like method for the new proposed total variation-based regularization model, we provide numerical experiments for several test problems.

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References

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