在自然图像中的个人对比偏好
Olga Cherepkova1, Seyed Ali Amirshahi1, Marius Pedersen1
1Department of Computer Science, Norwegian University of Science and Technology, 2802 Gjøvik, Norway.
Journal of imaging
|January 22, 2024
概括
人们对图像对比有不同的偏好. 这项研究发现了基于他们喜欢的对比度水平的三个不同的观察者群体,有助于个性化图像质量评估研究.
科学领域:
- 计算机视觉 计算机视觉
- 人与计算机的交互
- 图像处理 图像处理
背景情况:
- 图像质量评估 (IQA) 传统上使用客观指标.
- 个性化IQA承认个体观察者之间的差异.
- 了解用户对对比度等图像属性的偏好对于个性化IQA至关重要.
研究的目的:
- 调查对比偏好对自然图像的个体差异.
- 根据观察者的对比偏好来识别不同的观察者群体.
- 为未来的研究创建一个公开可用的对比偏好数据库.
主要方法:
- 一个实验室实验与22名观察员进行了实验.
- 观察者评估了499张自然图像,提供了对比度偏好.
- 采用了三种替代强制选择方法,并修改了自适应式楼梯算法.
主要成果:
- 观察者被分为三个不同的组:低对比度,自然对比度和高对比度偏好.
- 观察到对比偏好存在显著的个体差异.
- 编制了一个包含 10,978 个对比偏好值的数据库.
结论:
- 个人对比偏好存在,可以分类.
- 这些发现支持个性化图像质量评估系统的发展.
- 发布的数据库将能够进一步研究观众特定的图像感知.
关键词:
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