Robust remove noise using multiple degraded images

Ruihua Liu; Fang Li

Robust remove noise using multiple degraded images

Ruihua Liu^*
, Fang Li

^*Corresponding author for this work

School of Mathematical Sciences

East China Normal University
Chongqing Institute of Technology

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

2 Scopus citations

Abstract

In this paper, we propose a model to remove noise or deblurring by multiple degraded images. In the algorithm, we introduce robust L¹ norm data fidelity term and bilateral total variation regularization term. Experimental results show that our algorithm is effective.

Original language	English
Pages (from-to)	305-308
Number of pages	4
Journal	Chinese Journal of Electronics
Volume	17
Issue number	2
State	Published - Apr 2008

Keywords

Bilateral total variation
Deblurring
Degraded images
Denoising

Cite this

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title = "Robust remove noise using multiple degraded images",

abstract = "In this paper, we propose a model to remove noise or deblurring by multiple degraded images. In the algorithm, we introduce robust L1 norm data fidelity term and bilateral total variation regularization term. Experimental results show that our algorithm is effective.",

keywords = "Bilateral total variation, Deblurring, Degraded images, Denoising",

author = "Ruihua Liu and Fang Li",

year = "2008",

month = apr,

language = "英语",

volume = "17",

pages = "305--308",

journal = "Chinese Journal of Electronics",

issn = "1022-4653",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

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AU - Liu, Ruihua

AU - Li, Fang

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AB - In this paper, we propose a model to remove noise or deblurring by multiple degraded images. In the algorithm, we introduce robust L1 norm data fidelity term and bilateral total variation regularization term. Experimental results show that our algorithm is effective.

KW - Bilateral total variation

KW - Deblurring

KW - Degraded images

KW - Denoising

UR - https://www.scopus.com/pages/publications/42249098856

M3 - 文章

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SN - 1022-4653

VL - 17

SP - 305

EP - 308

JO - Chinese Journal of Electronics

JF - Chinese Journal of Electronics

IS - 2

ER -

Robust remove noise using multiple degraded images

Abstract

Keywords

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