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http://dx.doi.org/10.5391/IJFIS.2015.15.1.35

An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement  

Lee, Joonwhoan (Department of Computer Science and Engineering, Chonbuk National University)
Pant, Suresh Raj (Department of Computer Science and Engineering, Chonbuk National University)
Lee, Hee-Sin (Department of Computer Science and Engineering, Chonbuk National University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.15, no.1, 2015 , pp. 35-44 More about this Journal
Abstract
The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.
Keywords
Contrast enhancement; Local details; Over-enhancement; Under-enhancement; Image edge density;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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