NDLI: Brightness preserving weighted dynamic range histogram equalization for image contrast enhancement

Content Provider	IEEE Xplore Digital Library
Author	Thien Huynh-The Thuong Le-Tien
Copyright Year	2013
Description	Author affiliation: Vietnam, Univ. of Tech. Educ. Ho Chi Minh City, Ho Chi Minh City, Vietnam (Thien Huynh-The) \|\| Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam (Thuong Le-Tien)
Abstract	In this paper, an effective method Brightness Preserving Weighted Dynamic Range Histogram Equalization (BP-WDRHE) is proposed. Although, the Histogram Equalization (HE) is an universal method, it is not suitable for consumer electronic products because this method cannot preserve the overall brightness and the output image has unnatural looking and more visual artifacts. An extending of approach based on the Brightness Preserving Bi-Histogram Equalization method, the BPWDRHE used the weighted within-class variance as the new algorithm in separating an original histogram. Comparing with other methods using the average or the median of gray-levels, the proposed method determined a separating point based on computing the variance to minimize the total squared error of each sub-histogram corresponding to the brightness shift with HE independently. As a result, the output images obtain the comfortable visualization with preserving the overall brightness. The experimental results are presented and compared with the other brightness preserving methods.
Starting Page	386
Ending Page	391
File Size	596626
Page Count	6
File Format	PDF
ISBN	9781479910861
ISSN	21621020
e-ISBN	9781479910892
DOI	10.1109/ATC.2013.6698142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-16
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Visualization Weighted Dynamic Range Smoothing methods Histogram Equalization Brightness Color Dynamic range Probability density function Within-class Variance Brightness Preserving Contrast Enhancement Contrast Enhancement
Content Type	Text
Resource Type	Article

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