考虑用户偏好的自动图像增强

Yuri Murata, Y. Dobashi
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引用次数: 3

摘要

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。
Automatic Image Enhancement Taking into Account User Preference
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.
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