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Abstract
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Article Information:
Modified Dynamic Histogram Equalization For Image Enhancement in Gray-scale Images
R.M. Meenal and Y. V. Ramana Rao
Corresponding Author: R.M. Meenal
Submitted: March 18, 2012
Accepted: April 23, 2012
Published: December 15, 2012 |
Abstract:
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To improve the quality of digital images captured in low light environment from consumer
electronics devices like cell phone cameras, Modified Dynamic Histogram Equalization (MDHE) is proposed.
Initially, the proposed method divides the histogram into two sub-histograms based on median. Then 2nd subhistogram
is further divided into two sub-histograms based on median of it. The resultant sub-histograms are
clipped according to the mean of the intensity occurrence of the input image independently. The new dynamic
range is allocated to each sub-histogram. The first sub-histogram is equalized independently using Global
Histogram Equalization (GHE) method. GHE is found the better enhancement for lower gray-levels and suffers
over-enhancement problem in higher gray-level. The proposed method utilizes the advantages of both GHE and
QDHE. This method utilizes GHE for enhancing lower gray-levels and QDHE for enhancing higher gray-levels.
Simulation results show that the proposed method yields better quality images in terms of Discrete Entropy
value compared with other conventional methods.
Key words: Clipping , dynamic range expansion, gray-level allocation, histogram equalization, partitioning the histogram, ,
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Cite this Reference:
R.M. Meenal and Y. V. Ramana Rao, . Modified Dynamic Histogram Equalization For Image Enhancement in Gray-scale Images. Research Journal of Applied Sciences, Engineering and Technology, (24): 5325-5331.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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