Color image enhancement method with adjustable emphasis degree

Hiromu Endo, A. Taguchi
{"title":"Color image enhancement method with adjustable emphasis degree","authors":"Hiromu Endo, A. Taguchi","doi":"10.1109/ISPACS.2017.8266531","DOIUrl":null,"url":null,"abstract":"This paper presents a new color image enhancement method. In color image processing, hue preserving is required. The proposed method is performed into the ideal HSI color space whose gamut is same as the RGB color space. The differential gray-level histogram equalization (DHE) is effective for the enhancement of gray scale images. The proposed method is an extension version of the DHE for color images, and furthermore, the enhancement degree is variable by introducing two parameters. Since our enhancement method is applied to not only intensity but also saturation, both the contrast and the colorfulness of the output image can be varied. We clear that the contrast and the colorfulness are controlled by the intensity enhancement method and the saturation enhancement method, respectively. The two enhancement methods are almost independent. Therefore, the intensity enhancement and the saturation enhancement are performed simultaneously, and can be changed the degree of emphasis by using two parameters.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2017.8266531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a new color image enhancement method. In color image processing, hue preserving is required. The proposed method is performed into the ideal HSI color space whose gamut is same as the RGB color space. The differential gray-level histogram equalization (DHE) is effective for the enhancement of gray scale images. The proposed method is an extension version of the DHE for color images, and furthermore, the enhancement degree is variable by introducing two parameters. Since our enhancement method is applied to not only intensity but also saturation, both the contrast and the colorfulness of the output image can be varied. We clear that the contrast and the colorfulness are controlled by the intensity enhancement method and the saturation enhancement method, respectively. The two enhancement methods are almost independent. Therefore, the intensity enhancement and the saturation enhancement are performed simultaneously, and can be changed the degree of emphasis by using two parameters.
彩色图像增强方法与可调的强调程度
提出了一种新的彩色图像增强方法。在彩色图像处理中,需要保持色调。将该方法应用于与RGB色域相同的理想HSI色空间中。差分灰度直方图均衡化(DHE)是灰度图像增强的有效方法。该方法是彩色图像DHE的扩展版本,并且通过引入两个参数来改变增强程度。由于我们的增强方法不仅适用于强度,而且适用于饱和度,因此输出图像的对比度和色彩都可以变化。我们明确了对比度和色彩分别由强度增强法和饱和度增强法控制。这两种增强方法几乎是独立的。因此,强度增强和饱和度增强是同时进行的,并且可以通过使用两个参数来改变强调程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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