NDLI: Quadrants dynamic histogram equalization for contrast enhancement

Content Provider	IEEE Xplore Digital Library
Author	Chen Hee Ooi Isa, N.A.M.
Copyright Year	1975
Abstract	In this paper, we introduce a histogram equalization (HE)-based technique, called quadrant dynamic histogram equalization (QDHE), for digital images captured from consumer electronic devices. Initially, the proposed QDHE algorithm separates the histogram into four (quadrant) sub-histograms based on the median of the input image. Then, the resultant sub-histograms are clipped according to the mean of intensity occurrence of input image before new dynamic range is assigned to each sub-histogram. Finally, each sub-histogram is equalized. Based on extensive simulation results, the QDHE method outperforms some methods existing in literature, which can be considered as state-of-the-arts, by producing clearer enhanced images without any intensity saturation, noise amplification, and over-enhancement. Furthermore, image details of the processed image are well preserved and highlighted. For this reason, the proposed QDHE algorithm is suitable for images captured in low-light environments - an unavoidable situation by many consumer electronics products such as camera devices in cell phone.
Sponsorship	IEEE Consumer Electronics Society
File Size	1447908
File Format	PDF
ISSN	00983063
Volume Number	56
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Brightness Dynamic range Pixel Marine animals Heuristic algorithms Histogram equalization, dynamic histogram equalization, contrast enhancement, partitioned histogram.
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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