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Learning to Enhance RGB and Depth Images with Guidance

Lu, Kaiyue

Description

Image enhancement improves the visual quality of the input image to better identify key features and make it more suitable for other vision applications. Structure degradation remains a challenging problem in image enhancement, which refers to blurry edges or discontinuous structures due to unbalanced or inconsistent intensity transitions on structural regions. To overcome this issue, it is popular to make use of a guidance image to provide additional structural cues. In this thesis, we focus...[Show more]

CollectionsOpen Access Theses
Date published: 2022
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/258498
DOI: 10.25911/KCNZ-3K31

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