Plateau limit-based tri-histogram equalisation for image enhancement

被引：25

作者：

Paul, Abhisek ^{[1
]}

Bhattacharya, Paritosh ^{[2
]}

Maity, Santi P. ^{[3
]}

Bhattacharyya, Bidyut Kr. ^{[4
]}

机构：

[1] Natl Inst Technol, Dept Comp Sci & Engn, Agartala, India

[2] Natl Inst Technol, Dept Math, Agartala, India

[3] Indian Inst Engn Sci & Technol, Dept Informat Technol, Sibpur, Howrah, India

[4] Natl Inst Technol, Dept Elect & Commun Engn, Agartala, India

来源：

IET IMAGE PROCESSING | 2018年 / 12卷 / 09期

关键词：

image enhancement; equalisers; traditional plateau; adaptive plateau limit; digital images; clipped histogram; histogram subdivision limit parameters; individual sub-image; single enhanced image; tri-histogram equalisation algorithm; image quality; CONTRAST ENHANCEMENT; BRIGHTNESS; INDEX;

D O I：

10.1049/iet-ipr.2017.1088

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An adaptive plateau limit-based histogram equalisation algorithm is suggested to enhance digital images. Histogram of the image is clipped with a plateau limit to avoid over enhancement. The plateau limit is derived from the average of the mean and the median intensity values to offer the improved enhancement. Clipped histogram is subdivided into three parts, using histogram subdivision limit parameters that are calculated on the basis of the standard deviation of the image. Histogram of individual sub-image is equalised independently and then combined into a single enhanced image. Experimental results demonstrate that the proposed plateau limit-based tri-histogram equalisation algorithm enhances the image quality. Compared with the other traditional plateau and non-plateau limit-based histogram equalisation algorithms, quantitative and visual quality assessments effectively validate the superiority of the proposed algorithm.

引用

页码：1617 / 1625

页数：9

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