NDLI: Fuzzy enhanced image fusion using pixel intensity control

Content Provider	IET Digital Library
Author	Nandal, Amita Bhaskar, Vidhyacharan
Abstract	This study is based on improving the visual quality of the images captured under different illumination conditions, i.e. overexposed and underexposed. This study presents a fuzzy image enhancement process based on a finite fuzzy set which is defined to optimise entropy, noise, intensity and edge information. In the proposed fuzzy approach, the overexposed and underexposed images are mapped to form a fuzzy set using membership functions. In the fuzzification process, the degree of belonging of each input to an appropriate fuzzy membership is calculated with respect to intensity, entropy, edge information and background noise. Therefore, the proposed method preserves the details of the image. Indeed, the fuzzy systems are well suited to model the uncertainty that occurs when conflicting operations are performed. Some effective approaches can enhance the image data without increasing noise. However, their ability to reduce the noise during the sharpening process is limited. The proposed method enhances the image by controlling sharpness parameter which affects the visual quality of the image. Both qualitative and quantitative assessments are performed to evaluate the performance of the proposed algorithm.
Starting Page	453
Ending Page	464
Page Count	12
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 3, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0405
Journal	IET Image Processing
Publisher Date	2017-10-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Background Noise Combinatorial Mathematics Computer Vision And Image Processing Technique Edge Information Entropy Finite Fuzzy Set Fuzzy Image Enhancement Process Fuzzy Membership Function Fuzzy Set Theory Image Denoising Image Enhancement Image Fusion Image Visual Quality Intensity Noise Reduction Optical, Image And Video Signal Processing Pixel Intensity Control Sensor Fusion Sharpening Process
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
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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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