NDLI: Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex

Content Provider	IET Digital Library
Author	Liu, Haoting Lu, Hanqing Zhang, Yu
Abstract	The visible light camera-based long-range surveillance always suffers from the complex atmosphere. When applying some traditional image enhancement methods, the computational effects behave limited because of their poor environment adaptability. To conquer that problem, a blind image quality (IQ) learning-based multiscale Retinex, i.e. the IQ-learning multiscale Retinex, is proposed. First, a series of typical degenerated images are collected. Second, several blind IQ evaluation metrics are computed for the dataset above. They are the image brightness degree, the image region contrast degree, the image edge blur degree, the image colour quality degree, and the image noise degree. Third, a wavelet transform multi-scale Retinex (WT_MSR) is used to carry out the basic image enhancement. A kind of optimal enhancement is implemented by the subjective evaluation and tuning of multiple optimal control parameters (MOCPs) of WT_MSR for these degenerated dataset. Fourth, the back propagation neural network (BPNN) is used to build a connection between the IQ metrics and the MOCPs. Finally, when a new image is captured, this system will compute its IQ metrics and estimate the MOCPs for the WT_MSR by BPNN; then a kind of optimal enhancement can be realised. Many outdoor applications have shown the effectiveness of proposed method.
Starting Page	786
Ending Page	795
Page Count	10
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 9, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0972
Journal	IET Image Processing
Publisher Date	2017-06-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Backpropagation Backpropagation Neural Network Blind Image Quality Learning Multiscale Retinex Blind IQ-learning Multiscale Retinex BPNN Computer Vision And Image Processing Technique Image Brightness Degree Image Colour Quality Degree Image Edge Blur Degree Image Enhancement Image Enhancement Method Image Noise Degree Image Region Contrast Degree Image Restoration Integral Transforms MOCP Multiple Optimal Control Parameter Neural Computing Technique Neural Nets Optical, Image And Video Signal Processing Outdoor Long-range Surveillance Video Surveillance Visible Light Camera-based Wavelet Transform Wavelet Transform Multiscale Retinex WT_MSR
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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