Infrared image denoising based on total variation theory

LU Zhao-lin; LI Run-long; LI Tao; WANG Zhen-wei; HAN Chun-xia; QIAN Jian-sheng

doi:10.3969/j.issn.1001-3806.2012.02.012

LASER TECHNOLOGY > 2012 > 36(2): 194-197. > DOI: 10.3969/j.issn.1001-3806.2012.02.012

LU Zhao-lin, LI Run-long, LI Tao, WANG Zhen-wei, HAN Chun-xia, QIAN Jian-sheng. Infrared image denoising based on total variation theory[J]. LASER TECHNOLOGY, 2012, 36(2): 194-197. DOI: 10.3969/j.issn.1001-3806.2012.02.012

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Infrared image denoising based on total variation theory

1.
School of Computer Science and Technology, China University of Mining & Technology, Xuzhou 221008, China;
2.
State Development & Investment Corp., Huainan 232001, China;
3.
Shandong Longji Machinery Co., Ltd, Longkou 265700, China;
4.
Advanced Analysis & Computation Center, China University of Mining & Technology, Xuzhou 221008,China;
5.
School of information and Electrical Engineering China University of Mining & Technology, Xuzhou 221008, China

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Received Date: August 07, 2011
Revised Date: September 07, 2011
Published Date: March 24, 2012

Graphical Abstract

Abstract

Abstract

In order to remove the noise of infrared images,an image denoising method based on total variation was proposed,which inherits the advantage of edge preserving of the total variation(TV)model.A novel diffusion function was derived from the theory of smooth diffusion.Simultaneously,an edge detector operator was introduced to improve the related parameters of regularization term and fidelity term,which makes the denoised image avoid the staircase effect to a great extent.Finally,the implement of the algorithm was derived and the experimental results demonstrated the superior performance of the modified denoising algorithm.
- image processing,
- total variation,
- infrared image denoising,
- staircase effect

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