Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition

doi:10.13474/j.cnki.11-2246.2022.0203

Bulletin of Surveying and Mapping ›› 2022, Vol. 0 ›› Issue (7): 54-59.doi: 10.13474/j.cnki.11-2246.2022.0203

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Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition

ZHENG Yan¹, HE Huan², BU Lijing³, JIN Xin⁴

1. Department of Information Engineering in Surveying Mapping Science and Remote Sensing, Guangdong Polytechinc of Industry and Commerce, Guangzhou 510510, China;
2. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
3. College of Automation and Eletronic Information, Xiangtan University, Xiangtan 411100, China;
4. Beijing Urban Construction Exploration & Surveying Design Research Institute Co., Ltd., Beijing 100101, China

Received:2021-09-07 Online:2022-07-25 Published:2022-07-28

Abstract

Abstract: In view of the poor effect of edge detail information reconstruction in remote sensing image super-resolution reconstruction, a super-resolution reconstruction method based on self similarity feature and edge feature preserving decomposition is proposed. Firstly, in order to make full use of the similarity information of the original low resolution image, the local self similarity reconstruction method is used to obtain the initial reconstruction results of the image. In order to further increase the edge information of different scales, the weighted least square method is used to decompose the initial reconstruction results, and the decomposed detail layers are weighted linear combined. Finally, the super-resolution reconstructed image integrating multi-scale edge, detail information and local similarity features is obtained through optimization calculation. The results show that this method can effectively improve the edge information and detail information of remote sensing images.

Key words: self-similarity, edge-preserving decomposition, super-resolution reconstruction, detail information

CLC Number:

P237

ZHENG Yan, HE Huan, BU Lijing, JIN Xin. Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition[J]. Bulletin of Surveying and Mapping, 2022, 0(7): 54-59.

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Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition

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