A nonlocal method for image shadow removal

2022 ◽  
Vol 107 ◽  
pp. 95-103
Author(s):  
S. Benalia ◽  
M. Hachama
Keyword(s):  
2013 ◽  
Vol 32 (7) ◽  
pp. 421-430 ◽  
Author(s):  
Chunxia Xiao ◽  
Donglin Xiao ◽  
Ling Zhang ◽  
Lin Chen
Keyword(s):  

Author(s):  
Liqin Fu ◽  
Yiru Wang ◽  
Zhebin Zhang ◽  
Rui Nian ◽  
Tianhong Yan ◽  
...  

2014 ◽  
Vol 626 ◽  
pp. 32-37 ◽  
Author(s):  
Ajayan Lekshmi ◽  
C. Christopher Seldev

Shadows are viewed as undesired information that strongly affects images. Shadows may cause a high risk to present false color tones, to distort the shape of objects, to merge, or to lose objects. This paper proposes a novel approach for the detection and removal of shadows in an image. Firstly the shadow and non shadow region of the original image is identified by HSV color model. The shadow removal is based on exemplar based image inpainting. Finally, the border between the reconstructed shadow and the non shadow areas undergoes bilinear interpolation to yield a smooth transition between them. They would lead to a better fitting of the shadow and non shadow classes, thus resulting in a potentially better reconstruction quality.


2020 ◽  
Author(s):  
Anagha Kulkarni ◽  
Saritha E
Keyword(s):  

Author(s):  
Masashi Baba ◽  
Naoki Asada
Keyword(s):  

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