Brightness-Preservating Based Weighted Sub-Images for Contrast Enhancement

LV Zong-wei

doi:10.3969/j.issn.0372-2112.2013.02.012

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Brightness-Preservating Based Weighted Sub-Images for Contrast Enhancement

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- Brightness-Preservating Based Weighted Sub-Images for Contrast Enhancement
- Acta Electronica Sinica Vol. 41, Issue 2, Pages: 281-287(2013)
- 作者机构：
  
  1. 重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆,400030
  2. 重庆大学输配电装备及系统安全与新技术国家重点实验室重庆,400030
- 作者简介：
- 基金信息：
  
  Fundamental Research Funds for the Central Universities (No.CDJZR10150015)
- DOI：10.3969/j.issn.0372-2112.2013.02.012
  CLC： TP391.41
- Published：2013
- 稿件说明：
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LV Zong-wei. Brightness-Preservating Based Weighted Sub-Images for Contrast Enhancement[J]. Acta Electronica Sinica, 2013, 41(2): 281-287.
DOI：

LV Zong-wei. Brightness-Preservating Based Weighted Sub-Images for Contrast Enhancement[J]. Acta Electronica Sinica, 2013, 41(2): 281-287. DOI： 10.3969/j.issn.0372-2112.2013.02.012.

摘要

本文提出了一种有效的基于亮度保持对比度增强算法.利用BBHE(brightness preserving bi-histogram equalization)算法产生的两个子图像

对两个子图像进行加权求和

从而得到输出图像.同时

根据输入图像以及两个子图像的亮度均值

给出了一种基于亮度保持的权重系数的计算方法.实验结果表明

与其它亮度保持对比度增强算法相比

本文算法能够更准确地保持输入图像的亮度均值以及较好地实现对比度增强.另外

本文算法计算简单

能够满足实时性的要求.

Abstract

In this paper

an efficient contrast enhancement method based on brightness-preserving is proposed.This method defines the outputimage as the weighted sum of the two sub-images generated by BBHE.At the same time

a brightness-preserving way

based on the mean brightness of the input image and two sub-images

to calculate two weight coefficients is given.It is shown through the experimental results that the proposed method can preserve the mean brightness with higher accuracy than many other brightness-preserving methods while enhancing the contrast efficiently.In addition

the proposed method in this paper is quite simple which makes it meet the requirement of real-time.

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Local Histogram Equalization with Brightness Preservation

Automatic Brightness Adjustment for Image and Video

An Image Contrast Enhancement Approach Based On Fuzzy Wavelet

Maximum Entropy Model Based Bi-histogram Equalization Algorithm

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Related Institution

School of Computer Science and Information,Hefei University of Technology.

School of Physics and Electrical Engineering,Anqing Teacher's College.

School of Computer Science and InformationHefei University of Technology.HefeiAnhui 230009China

School of Physics and Electrical EngineeringAnqing Teacher's College.AnqingAnhui 246011China

南京大学计算机软件新技术国家重点实验室

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