DocumentCode :
3748821
Title :
Mutual-Structure for Joint Filtering
Author :
Xiaoyong Shen;Chao Zhou;Li Xu;Jiaya Jia
fYear :
2015
Firstpage :
3406
Lastpage :
3414
Abstract :
Previous joint/guided filters directly transfer the structural information in the reference image to the target one. In this paper, we first analyze its major drawback -- that is, there may be completely different edges in the two images. Simply passing all patterns to the target could introduce significant errors. To address this issue, we propose the concept of mutual-structure, which refers to the structural information that is contained in both images and thus can be safely enhanced by joint filtering, and an untraditional objective function that can be efficiently optimized to yield mutual structure. Our method results in necessary and important edge preserving, which greatly benefits depth completion, optical flow estimation, image enhancement, stereo matching, to name a few.
Keywords :
"Image edge detection","Optical filters","Image restoration","Optimization","Filtering","Linear programming","Optical imaging"
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2015 IEEE International Conference on
Electronic_ISBN :
2380-7504
Type :
conf
DOI :
10.1109/ICCV.2015.389
Filename :
7410746
Link To Document :
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