Shadow compensation from UAV images based on texture-preserving local color transfer

Liu, X., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Gao, M. (2022) Shadow compensation from UAV images based on texture-preserving local color transfer. Remote Sensing, 14 (19). 4969. ISSN 2072-4292 doi: 10.3390/rs14194969

Abstract/Summary

The lack of color information and texture information in the shadow region seriously affect the recognition and interpretation of remote sensing image information. The commonly used methods focus on the restoration of texture information, but it is often easy to overcompensate, resulting in color distortion of the shadow region. However, some methods only ensure accurate correction of color information, and tend to cause texture blurring. In order to not lose the texture information and to accurately compensate the color information in the shadow region of the image, we propose a shadow compensation method from UAV images based on texture-preserving local color transfer in this paper. Firstly, homogeneous regions are extracted from UAV images and homogeneous subregion segmentation is performed on the basis of homogeneous regions using the mean shift method. Secondly, in combination with the shadow mask, each shadow subregion is matched with the corresponding non-shadow subregion based on its texture features and spatial distance. Then, the matched non-shadow subregion is used as the reference region, and the color transfer based on preserving texture is performed on the shadow subregion. Finally, pixel-by-pixel width shadow compensation is applied to the penumbra region. The results of the qualitative and quantitative analysis validate the accuracy and effectiveness of the proposed methodology to compensate for the color and texture details of the shadow regions.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/108658
Identification Number/DOI	10.3390/rs14194969
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords	Article, remote sensing, UAV images, regional matching, color transfer, shadow compensation
Publisher	MDPI
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