对影响光泽度和粗度的物理特征的分析 图像复制中的光泽度和粗度变化及其恢复的图像特征
Midori Tanaka1, Hideyuki Ajiki2, Takahiko Horiuchi1
1Graduate School of Informatics, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba 263-8522, Japan.
Journal of imaging
|April 25, 2025
概括
数字图像的复制改变了感知到的光泽度和粗度. 这项研究确定了物理特征和图像调制以恢复这些属性,从而实现与感知相等的图像再现.
科学领域:
- 视觉感知 视觉感知 视觉感知
- 数字图像处理 数字图像处理
- 材料科学 是一种材料科学.
背景情况:
- 数字成像可以改变真实物体的感知外观.
- 用色度计复制的图像 (CRI) 可能无法准确地反映原来的光泽度和粗度.
- 了解这些感知差异对于准确的图像再现至关重要.
研究的目的:
- 确认复制图像中光泽度和粗度的变化.
- 分析影响这些变化的物理特征.
- 开发方法来恢复数字图像中感知到的光泽度和粗度.
主要方法:
- 实物与CRI和调制图像进行比较.
- 心理物理实验来评估感知差异.
- 分析物理表面粗度和图像特征 (例如,斜率,曲率,对比度,灰色水平共发生矩阵).
主要成果:
- 表面粗度的低斜率和高曲率与光泽度和粗度的改变相对应.
- 对比度调制可以恢复感知到的光泽度.
- 在GLCM中的角秒钟可以恢复感知粗度.
- 感知上相当的图像被重现.
结论:
- 在真实物体和它们的CRI之间,感知到的光泽度和粗度是不同的.
- 测量真实物体的物理特征和应用特定的图像调制可以促进对等的光泽度和粗度的再现.
- 这项研究有助于创建更准确的物质外观的数字表示.
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