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Contrast Enhancement of Illumination Layer Image using Optimized Subsection-based Histogram Equalization

Volume 14, Number 11, November 2018, pp. 2624-2632
DOI: 10.23940/ijpe.18.11.p8.26242632

Yongxin Wanga,b, Ming Diaoa, and Haibin Wua

aSchool of Information and Communication Engineering, Harbin Engineering University, Harbin, 150080, China
bThe Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentation of Heilongjiang Province, Harbin University of Science and Technology, Harbin, 150080, China

(Submitted on August 6, 2018; Revised on September 10, 2018; Accepted on October 8, 2018)

Abstract:

A key problem of underwater image sharpening is to improve image contrast while retaining image detail. The retinex model is used to obtain the illumination and detail layer images. The histogram of the illumination layer image is divided into under-exposure subsection and over-exposure subsection by using the maximum interclass variance method, and the histogram subsections are equalized separately. The above process of histogram dividing and equalization is repeated until the difference between adjacent thresholds for dividing histogram subsections reaches its optimal value. This enhances the contrast of the illumination layer image. As a result, our contrast enhancement method of illumination layer image using optimized histogram subsection based histogram equalization is formed. Furthermore, by multiplying the enhanced contrast of illumination layer image with the original detail layer image, the contrast of underwater image is enhanced and its original details are retained. Some evaluations, e.g. information entropy and mean structure similarity, are examined to show that the underwater image quality is improved appropriately.

 

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