Using Color Difference Equations for Calculating Gradient Images

S. A. Amirshahi, S. H. Amirshahi, Joachim Denzler
{"title":"Using Color Difference Equations for Calculating Gradient Images","authors":"S. A. Amirshahi, S. H. Amirshahi, Joachim Denzler","doi":"10.1109/SITIS.2017.54","DOIUrl":null,"url":null,"abstract":"Recent studies have pointed out to properties such as self-similarity, complexity, and anisotropy as some of the universal characteristics seen in aesthetic paintings. New measures for evaluating the mentioned properties in images were introduced based on the Pyramid Histogram of Gradients (PHOG) features. It is clear that an influential step in calculating PHOG features is how the gradient image is calculated. While such calculations seem straightforward for greyscale images the same could not be said for color images. In this paper, we use color difference equations to propose a new method to calculate the gradient of a color image. Such approach seems a good option to point out the color difference between two patches from a standard observer. Results show that compared to previous methods, the proposed approach gives comparable results. Keeping in mind that color difference equations are specifically proposed to evaluate color difference it seems suitable to use the proposed approach for future color image gradient calculations.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2017.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Recent studies have pointed out to properties such as self-similarity, complexity, and anisotropy as some of the universal characteristics seen in aesthetic paintings. New measures for evaluating the mentioned properties in images were introduced based on the Pyramid Histogram of Gradients (PHOG) features. It is clear that an influential step in calculating PHOG features is how the gradient image is calculated. While such calculations seem straightforward for greyscale images the same could not be said for color images. In this paper, we use color difference equations to propose a new method to calculate the gradient of a color image. Such approach seems a good option to point out the color difference between two patches from a standard observer. Results show that compared to previous methods, the proposed approach gives comparable results. Keeping in mind that color difference equations are specifically proposed to evaluate color difference it seems suitable to use the proposed approach for future color image gradient calculations.
用色差方程计算梯度图像
最近的研究指出,自相似性、复杂性和各向异性是美学绘画的一些普遍特征。提出了基于梯度金字塔直方图(PHOG)特征评价图像中上述属性的新方法。很明显,计算PHOG特征的一个有影响的步骤是如何计算梯度图像。虽然这种计算对于灰度图像来说似乎很简单,但对于彩色图像来说却并非如此。本文利用色差方程,提出了一种计算彩色图像梯度的新方法。这种方法似乎是一个很好的选择,从一个标准的观察者指出两个斑块之间的色差。结果表明,与以往的方法相比,该方法具有可比性。请记住,色差方程是专门用来评估色差的,因此似乎适合将所提出的方法用于未来的彩色图像梯度计算。
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