UM
Shadowed Non-local Image Guided Filter
Guo, Li; Chen, Long; Chen, C. L. Philip; Yu, H; Dong, Y
2018
Conference NameNINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2017)
Volume10615
Publication Place1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
PublisherSPIE-INT SOC OPTICAL ENGINEERING
AbstractGuided image filter has been widely used in image processing. Considering the Non-local model is an excellent method for global information accumulation, the non-local image guided filter has been proposed and shown good performance in many image processing tasks by utilizing the non-local similarity of the guidance image. In this paper, we introduce a shadowed non-local image guided filter derived from the concept of shadowed sets. The shadowed non-local model applies more reliable non-local information by suppressing the low similarity values of the guidance image to zero and boosting high similarity values to the maximum of the non-local similarity set. The thresholds of suppression and boosting are determined automatically based on the concept of shadowed sets. Experimental results on several image processing tasks including image denoising, depth super-resolution, and image dehazing demonstrate the superiority of shadowed set based approach.
KeywordGuided filter shadowed sets image dehazing super-resolution non-local model and modified non-local weight
DOI10.1117/12.2302633
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaOptics ; Imaging Science & Photographic Technology
WOS SubjectOptics ; Imaging Science & Photographic Technology
WOS IDWOS:000434707200181
The Source to ArticleWOS
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Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Guo, Li,Chen, Long,Chen, C. L. Philip,et al. Shadowed Non-local Image Guided Filter[C]. 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA:SPIE-INT SOC OPTICAL ENGINEERING,2018.
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