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Research Journal of Engineering and Technology
ISSN: 2321-581X(Online), 0976-2973(Print)
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Grey Scale Image Enhancement Using Proposed Modified Histogram Equalization Algorithm
Rajdeep Chowdhury1*, Indrani Banerjee2
1Assistant Professor, Department of Computer Science and Engineering, Abacus Institute of Engineering and Management, Natungram, Mogra – 712148, West Bengal
2Student, Department of Computer Science and Engineering, Abacus Institute of Engineering and Management, Natungram, Mogra – 712148, West Bengal
Digital Image Processing is a locale distinctive by the requisite for extensive experimental effort to ascertain the viability of proposed elucidation to the given predicament. To preserve image eminence Histogram Equalization (HE) which falls diminutive due to quantum leap in Cumulative Distribution Function (CDF) in the Histogram Algorithm, the Proposed Algorithm has been devised. The Proposed Algorithm ensures enhancement by sub-dividing the image into eight dissections separately. The progression is ensured by using weighted function and then combining the whole of it. The algorithm confers perfect intensity range of picture, with lesser distortion and comprehensive improving quality. Experiments illustrate that the Proposed Algorithm performs well in comparison to the existing enhancement algorithms. The relevant appliance of the Proposed Algorithm might be in its employment in an assortment of organisations where Image Enhancement is of utmost significance.
Intensity Range, Image Enhancement (IE), Histogram Equalization (HE), Cumulative Distribution Function (CDF), Probability Density Function (PDF), Modified Histogram Equalization Algorithm (MHEA).
Rajdeep Chowdhury, Indrani Banerjee. Grey Scale Image Enhancement Using Proposed Modified Histogram Equalization Algorithm. Research J. Engineering and Tech. 5(4): Oct.-Dec., 2014 page 217-222.
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