Single Image Interpolation Exploiting Semi-local Similarity

Author(s):  
Lantao Yu ◽  
Michael T. Orchard
2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Wei Wang ◽  
Wenhui Li ◽  
Qingji Guan ◽  
Miao Qi

Removing the haze effects on images or videos is a challenging and meaningful task for image processing and computer vision applications. In this paper, we propose a multiscale fusion method to remove the haze from a single image. Based on the existing dark channel prior and optics theory, two atmospheric veils with different scales are first derived from the hazy image. Then, a novel and adaptive local similarity-based wavelet fusion method is proposed for preserving the significant scene depth property and avoiding blocky artifacts. Finally, the clear haze-free image is restored by solving the atmospheric scattering model. Experimental results demonstrate that the proposed method can yield comparative or even better results than several state-of-the-art methods by subjective and objective evaluations.


2016 ◽  
Vol 25 (5) ◽  
pp. 2168-2183 ◽  
Author(s):  
Chao Ren ◽  
Xiaohai He ◽  
Qizhi Teng ◽  
Yuanyuan Wu ◽  
Truong Q. Nguyen

2018 ◽  
Vol 27 (2) ◽  
pp. 374-380 ◽  
Author(s):  
Zhirong Gao ◽  
Lixin Ding ◽  
Chengyi Xiong

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