Automatic Image Enhancement Taking into Account User Preference

Yuri Murata, Y. Dobashi
{"title":"Automatic Image Enhancement Taking into Account User Preference","authors":"Yuri Murata, Y. Dobashi","doi":"10.1109/CW.2019.00070","DOIUrl":null,"url":null,"abstract":"In these days, we can take many pictures everyday and everywhere with mobile devices such as smartphones. After taking a picture, we often modify it by using some image enhancement tools so that the appearance of the picture becomes favorable to his/her own preference. However, since there are many parameters in the enhancement functions, it is not an easy task to find an appropriate parameter set to obtain the desired result. Some tools have a function that automatically determine the parameters but they do not take into account the user's preference. In this paper, we present a system to address this problem. Our system first estimates the user's preference by using RankNet. Next, the image enhancement parameters are optimized to maximize the estimated preference. We show some experimental results to demonstrate the usefulness of our system.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Cyberworlds (CW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CW.2019.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In these days, we can take many pictures everyday and everywhere with mobile devices such as smartphones. After taking a picture, we often modify it by using some image enhancement tools so that the appearance of the picture becomes favorable to his/her own preference. However, since there are many parameters in the enhancement functions, it is not an easy task to find an appropriate parameter set to obtain the desired result. Some tools have a function that automatically determine the parameters but they do not take into account the user's preference. In this paper, we present a system to address this problem. Our system first estimates the user's preference by using RankNet. Next, the image enhancement parameters are optimized to maximize the estimated preference. We show some experimental results to demonstrate the usefulness of our system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑用户偏好的自动图像增强
如今,我们每天随地都可以用智能手机等移动设备拍很多照片。在拍完一张照片后,我们经常会用一些图像增强工具对其进行修改,使照片的外观变得符合他/她自己的喜好。然而,由于增强函数中有很多参数,要找到一个合适的参数集来获得期望的结果并不是一件容易的事情。有些工具具有自动确定参数的功能,但它们不考虑用户的偏好。在本文中,我们提出了一个系统来解决这个问题。我们的系统首先通过使用RankNet来估计用户的偏好。接下来,优化图像增强参数以最大化估计偏好。我们给出了一些实验结果来证明我们系统的有效性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EEG-Based Human Factors Evaluation of Air Traffic Control Operators (ATCOs) for Optimal Training Multi-instance Cancelable Biometric System using Convolutional Neural Network How does Augmented Reality Improve the Play Experience in Current Augmented Reality Enhanced Smartphone Games? Detection of Humanoid Robot Design Preferences Using EEG and Eye Tracker Vulnerability of Adaptive Strategies of Keystroke Dynamics Based Authentication Against Different Attack Types
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1