人工智能
计算机视觉
数码相机
计算机科学
纹理(宇宙学)
方向(向量空间)
照相手机
任务(项目管理)
图像纹理
质量(理念)
图像(数学)
数学
图像处理
工程类
几何学
物理
系统工程
量子力学
作者
Feifan Cao,Frédéric Guichard,Hervé Hornung
摘要
A method for evaluating texture quality as shot by a camera is presented. It is shown that usual sharpness measurements are not completely satisfying for this task. A new target based on random geometry is proposed. It uses the so-called dead leaves model. It contains objects of any size at any orientation and follows some common statistics with natural images. Some experiments show that the correlation between objectives measurements derived from this target and subjective measurements conducted in the Camera Phone Image Quality initiative are excellent.
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