Stripe noise removal of remote image based on wavelet variational method

被引：0
|
作者：
Wang C. [1 ,2 ]
Zhang Y. [2 ]
Wang X. [3 ]
Ji S. [2 ]
机构：
[1] School of Civil Engineering, University of Science and Technology Liaoning, Anshan
[2] Institute of Surveying and Mapping, Information Engineering University, Zhengzhou
[3] Forestry Institute, Liaoning Vocational College of Ecological Engineering, Shenyang
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2019年 / 48卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Destriping variation model; High-frequency component; Remote image; Stripe preserve variation model; Wavelet transform;
D O I：
10.11947/j.AGCS.2019.20180394
中图分类号：
学科分类号：
摘要：
In order to avoid the loss of image details in the process of strip noise removal, a method based on wavelet variational method was proposed to remove strip noise of remote images. First, remote image with stripe noise was decomposed by wavelet technology. Second, a stripe preserve variation model was constructed, this model could effectively remove image details from the wavelet horizontal direction high-frequency components in lower layers and only preserve the stripe noise, and the details are effectively separated; a destriping variation model was constructed, this model could effectively preserve the image details while removing the strip noise form the wavelet horizontal direction high-frequency components in the top layers. Finally, the destriping image was obtained by wavelet reconstruction. Experimental results show that the proposed method not only can effectively restrain the stripe noise of remote image, and can be also preserve the image details very well. The quality and contrast of destriping image are the best. © 2019, Surveying and Mapping Press. All right reserved.
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页码：1025 / 1037
页数：12
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