Two Improved Methods Based on Histogram Equalization for Image Enhancement

DONG Li-li; DING Chang; XU Wen-hai

doi:10.3969/j.issn.0372-2112.2018.10.009

您当前的位置：

首页 >

文章列表页 >

Two Improved Methods Based on Histogram Equalization for Image Enhancement

更新时间：2025-07-16

- Two Improved Methods Based on Histogram Equalization for Image Enhancement
- Acta Electronica Sinica Vol. 46, Issue 10, Pages: 2367-2375(2018)
- 作者机构：
  
  大连海事大学信息科学技术学院,辽宁,大连,116026
- 作者简介：
- 基金信息：
  
  National Key Technology Research and Development Program of the Ministry of Science and Technology (No.2014BAB12B03);National Natural Science Foundation of China (No.61501077);Fundamental Research Funds for the Central Universities (No.3132016351, No.3132018189)
- DOI：10.3969/j.issn.0372-2112.2018.10.009
  CLC： TN911.73
- Published：2018
- 稿件说明：
移动端阅览
DONG Li-li, DING Chang, XU Wen-hai. Two Improved Methods Based on Histogram Equalization for Image Enhancement[J]. Acta Electronica Sinica, 2018, 46(10): 2367-2375.
DOI：

DONG Li-li, DING Chang, XU Wen-hai. Two Improved Methods Based on Histogram Equalization for Image Enhancement[J]. Acta Electronica Sinica, 2018, 46(10): 2367-2375. DOI： 10.3969/j.issn.0372-2112.2018.10.009.

摘要

直方图均衡化（Histogram Equalization，HE）是图像增强领域中基础性很强的方法，对其研究和改进工作至关重要.首先，本文分析了经典HE算法的缺点，也概括了五类基于直方图均衡化的图像增强技术，然后针对HE经典算法的缺点提出了两种改进方法，分别引入了直方图动态削峰技术和边缘信息融合技术，最后选取曝光不足和过曝光的两类图像验证算法的性能，采取了有效的图像客观质量评价指标对实验结果做出评价.结合主客观图像质量评价可以看出，本文提出的算法具有增强效果好、输入参数少等特点.

Abstract

HE (Histogram Equalization) is a fundamental method in the field of image enhancement

the research and improvement about which is very significant. First

this paper analyzes the disadvantages of the classical HE algorithm and summarizes five kinds of image enhancement techniques based on HE. Then

two kinds of improved methods are proposed aiming at the disadvantages of the classical HE algorithm

the techniques of the peak clipping and the edge information fusion are introduced. Finally

underexposure and overexposure images are selected to verify the algorithms' properties

the standard of efficient image objective quality assessment is selected to evaluate the experimental results. The assessment of image subjective and objective quality shows the algorithms this paper proposes have the characteristics of better results

less input parameters and so on.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Regularization Explanation of Adjustable Histogram Equalization and Its Improvement

Feature Preserving Bidirectional Fuzzy Flow for Image Sharpening

Image Details Enhancement by Gradient Field Bi-interval Equalization

Studies on Mathematical Model of Histogram Equalization

Image Enhancement via Content Semantic-Aware Multimodal Fusion

Related Author

WU Cheng-mao

FU Shu-jun

RUAN Qiu-qi

MU Cheng-po

WANG Wen-qia

WU Cheng-mao

ZHU Han-cheng

LIU Xin-yu

Related Institution

School of Electronic Engineering,Xi’an University of Post and Telecommunications

School of Electronic EngineeringXi’an University of Post and TelecommunicationsXi’anShaanxi 710121China

School of Mathematics and System Science,Shandong University

Institute of Information Science, Beijing Jiaotong University

School of Aerospace Science and Technology,Beijing Institute of Technology

⁰