基于直方图修改的彩色图像增强方案

Pooja Gupta, A. Dhingra
{"title":"基于直方图修改的彩色图像增强方案","authors":"Pooja Gupta, A. Dhingra","doi":"10.1109/CIEC.2016.7513829","DOIUrl":null,"url":null,"abstract":"In an application of which processes an image, the method used widely CE referred as term Contrast of Enhancement is HE Histogram of Equalization. An algorithm for this may be effortlessly executed; even so, it has a tendency to transfigure the image brightness to the center point of scale of gray level. This document shows the modification scheme of a histogram which is elementary to take care of such sort of issues as per trait of implementation. The boundary estimations which are two in quantity of backing of histogram chart are discovered and situated to relating qualities, individually. The probability density function for calculating probability of the image is then is enumerate & revised function of mapping is utilized to accomplish HE. Outcomes of trial demonstrate that the methodology suggested may viably enhance image standard improved by HE & HM routines, & even HR called as redistribution of histogram, for example, (GLG) grouping of gray level, RGB colour spacing and hue preserving methods. Taking R, G and B component individually and remap them.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Histogram modification based colour image enhancement scheme\",\"authors\":\"Pooja Gupta, A. Dhingra\",\"doi\":\"10.1109/CIEC.2016.7513829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In an application of which processes an image, the method used widely CE referred as term Contrast of Enhancement is HE Histogram of Equalization. An algorithm for this may be effortlessly executed; even so, it has a tendency to transfigure the image brightness to the center point of scale of gray level. This document shows the modification scheme of a histogram which is elementary to take care of such sort of issues as per trait of implementation. The boundary estimations which are two in quantity of backing of histogram chart are discovered and situated to relating qualities, individually. The probability density function for calculating probability of the image is then is enumerate & revised function of mapping is utilized to accomplish HE. Outcomes of trial demonstrate that the methodology suggested may viably enhance image standard improved by HE & HM routines, & even HR called as redistribution of histogram, for example, (GLG) grouping of gray level, RGB colour spacing and hue preserving methods. Taking R, G and B component individually and remap them.\",\"PeriodicalId\":443343,\"journal\":{\"name\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIEC.2016.7513829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEC.2016.7513829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

在处理图像的应用中,广泛使用的方法(称为增强对比度)是均衡化直方图。这方面的算法可以毫不费力地执行;即使这样,它也有将图像亮度变形到灰度尺度中心点的倾向。本文档展示了直方图的修改方案,该方案是基本的,可以根据实现的特性来处理此类问题。发现了直方图的两个支持量的边界估计,并分别定位到相关的质量。然后通过枚举概率密度函数来计算图像的概率,并利用映射修正函数来实现HE。实验结果表明,所提出的方法可以有效地提高由HE和HM例程改进的图像标准,甚至称为直方图再分布的HR,例如灰度(GLG)分组,RGB颜色间距和色调保持方法。分别取R G B分量,重新映射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Histogram modification based colour image enhancement scheme
In an application of which processes an image, the method used widely CE referred as term Contrast of Enhancement is HE Histogram of Equalization. An algorithm for this may be effortlessly executed; even so, it has a tendency to transfigure the image brightness to the center point of scale of gray level. This document shows the modification scheme of a histogram which is elementary to take care of such sort of issues as per trait of implementation. The boundary estimations which are two in quantity of backing of histogram chart are discovered and situated to relating qualities, individually. The probability density function for calculating probability of the image is then is enumerate & revised function of mapping is utilized to accomplish HE. Outcomes of trial demonstrate that the methodology suggested may viably enhance image standard improved by HE & HM routines, & even HR called as redistribution of histogram, for example, (GLG) grouping of gray level, RGB colour spacing and hue preserving methods. Taking R, G and B component individually and remap them.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信