NDLI: Efficient naturalistic approach to image contrast enhancement

Content Provider	IET Digital Library
Author	Chen, Qiqiang Wan, Yi
Abstract	Contrast enhancement is an important step in many image processing and analysis applications. Although the idea of enhancing image contrast is simple, most published mechanisms of letting computers do so automatically tend to be complex or not so intuitive, and the performance is generally not consistent across different image shooting conditions. A new naturalistic approach to this problem that directly mimics what a human artist would do for contrast enhancement is proposed. The goal is to make every non-noise detail easily perceivable by a normal human. Specifically, the gradient/contrast and local background are computed for each pixel and then linearly mapped to an objective point in the gradient–background plane. Then, a cross-bilateral filter is used to smooth the two linear map parameter images. A moving local window is used to obtain the local noise level for each pixel, which is used to determine whether the pixel should be enhanced. The proposed approach is easy to implement and leads to superior results compared with typical state-of-the-art methods, as confirmed by experimental results.
Starting Page	754
Ending Page	756
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 10, May (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.4259
Journal	Electronics Letters
Publisher Date	2015-05-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Cross-bilateral Filter Filtering Method in Signal Processing Filtering Theory Gradient Method Gradient-background Plane Image Analysis Application Image Contrast Enhancement Image Enhancement Image Processing Application Image Shooting Condition Linear Map Parameter Image Local Background Moving Local Window Naturalistic Approach Objective Point Optical, Image And Video Signal Processing Optimisation Technique
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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