New histogram equalization based detail and brightness preserving techniques for digital images
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Date
2010
Authors
Chen Hee, Ooi
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Abstract
Although Histogram Equalization (HE) is widely used as a contrast enhancement
method because of its effectiveness and simplicity, it tends to produce mean
brightness change, intensity saturation problem and noise amplification. Therefore,
two novel brightness preservation methods, namely Brightness Preserving Plateau
•.
Limit Histogram Equalization (BPPLHE) and Quantized Plateau Limit Bi-Histogram
Equalization (QPLBHE) are proposed. The method for preserving mean brightness is
under a very high demand, especially where consumer electronic products are
concerned, like the television, monitor etc. The experiment results show that, both of
the proposed methods outperform those conventional methods by producing clearer,
more visually-enhanced images with brightness preservation ability. However,
brightness preservation methods are usually incapable in enhancing the contrast of
the low-lighted backgrounds of the images due to the non-expandable side subhistogram.
Therefore, a detail preservation method is proposed, namely Detail
Preserving Plateau Limit Histogram Equalization (DPPLHE). From the results of the
experiments, the proposed DPPLHE is the most robust method in extracting the
details of the low contrast images. Observing from the simulation results obtained,
the DPPLHE has produced the better performance from the perspectives of both
qualitative and quantitative evaluations. It is suitable for images captured in lowlighted
environment - unavoidable situation faced by many electronics products such
as camera devices in cell phone.
Description
Keywords
Equalization base , Preserving techniques , Digital images