NDLI: Cross-Field Joint Image Restoration via Scale Map

Content Provider	IEEE Xplore Digital Library
Author	Qiong Yan Xiaoyong Shen Li Xu Shaojie Zhuo Xiaopeng Zhang Liang Shen Jiaya Jia
Copyright Year	2013
Description	Author affiliation: Chinese Univ. of Hong Kong, Hong Kong, China (Qiong Yan; Xiaoyong Shen; Li Xu; Jiaya Jia)
Abstract	Color, infrared, and flash images captured in different fields can be employed to effectively eliminate noise and other visual artifacts. We propose a two-image restoration framework considering input images in different fields, for example, one noisy color image and one dark-flashed near infrared image. The major issue in such a framework is to handle structure divergence and find commonly usable edges and smooth transition for visually compelling image reconstruction. We introduce a scale map as a competent representation to explicitly model derivative-level confidence and propose new functions and a numerical solver to effectively infer it following new structural observations. Our method is general and shows a principled way for cross-field restoration.
Sponsorship	IEEE Comput. Soc.
Starting Page	1537
Ending Page	1544
File Size	2324883
Page Count	8
File Format	PDF
ISBN	9781479928408
ISSN	15505499
DOI	10.1109/ICCV.2013.194
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Noise measurement Smoothing methods Image edge detection Ash Noise Robustness near-infrared image restoration denoise cross-field
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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