Total variation-based image restoration using I-divergence

Qiufeng Wu; Kuanquan Wang; Wangmeng Zuo

Total variation-based image restoration using I-divergence

School of Computer Science and Technology, Harbin Institute of Technology
Northeast Agricultural University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposes I-divergence and TV-based image restoration model for recovering the sharp image from the blurred noisy image. This model is first formalized as the optimization problem, and then it is converted into Euler-Lagrange equation, which is solved by the gradient descent flow. The experiments verify that PSNR and BSNR of our I-divergence and TV based image restoration model is superior to those of the least squared criterion and TV based image restoration model in the identical problem.

Original language	English
Pages (from-to)	668-672
Number of pages	5
Journal	International Review on Computers and Software
Volume	8
Issue number	2
State	Published - Feb 2013
Externally published	Yes

Keywords

I-divergence
Image restoration
Total variation

Cite this

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title = "Total variation-based image restoration using I-divergence",

abstract = "This paper proposes I-divergence and TV-based image restoration model for recovering the sharp image from the blurred noisy image. This model is first formalized as the optimization problem, and then it is converted into Euler-Lagrange equation, which is solved by the gradient descent flow. The experiments verify that PSNR and BSNR of our I-divergence and TV based image restoration model is superior to those of the least squared criterion and TV based image restoration model in the identical problem.",

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AB - This paper proposes I-divergence and TV-based image restoration model for recovering the sharp image from the blurred noisy image. This model is first formalized as the optimization problem, and then it is converted into Euler-Lagrange equation, which is solved by the gradient descent flow. The experiments verify that PSNR and BSNR of our I-divergence and TV based image restoration model is superior to those of the least squared criterion and TV based image restoration model in the identical problem.

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Total variation-based image restoration using I-divergence

Abstract

Keywords

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