NDLI: Acceleration of histogram-based contrast enhancement via selective downsampling

Content Provider	IET Digital Library
Author	Cao, Gang Tian, Huawei Yu, Lifang Huang, Xianglin Wang, Yongbin
Abstract	The authors propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms. Both spatial and grey-level selective downsampling of digital images are adopted to decrease computational cost, while the visual quality of enhanced images is still preserved and without apparent degradation. Mapping function calibration is proposed to reconstruct the pixel mapping on the grey levels missed by downsampling. As two case studies, the accelerations of histogram equalisation (HE) and the state-of-the-art global CE algorithm, i.e. spatial mutual information and PageRank (SMIRANK), are presented in detail. Both quantitative and qualitative assessment results have verified the effectiveness of their proposed CE acceleration framework. In typical tests, the computational efficiencies of HE and SMIRANK have been increased by about 3.9 and 13.5 times, respectively.
Starting Page	447
Ending Page	452
Page Count	6
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.2017.0789
Journal	IET Image Processing
Publisher Date	2017-10-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CE Acceleration Framework Computer Vision And Image Processing Technique Decrease Computational Cost Global CE Algorithm Grey-level Selective Downsampling Histogram Equalisation Image Enhancement Image Reconstruction Image Resolution Image Sampling Mapping Function Calibration Optical, Image And Video Signal Processing Pixel Mapping Reconstruction SMIRANK Spatial Mutual Information-and-PageRank Spatial Selective Downsampling Universal Histogram-based Image Contrast Enhancement Algorithm Visual Quality
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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