Annual Review of Vision Science ( IF 5.0 ) Pub Date : 2021-09-15 , DOI: 10.1146/annurev-vision-093019-115159 Richard F Murray 1
Lightness perception is the perception of achromatic surface colors: black, white, and shades of grey. Lightness has long been a central research topic in experimental psychology, as perceiving surface color is an important visual task but also a difficult one due to the deep ambiguity of retinal images. In this article, I review psychophysical work on lightness perception in complex scenes over the past 20 years, with an emphasis on work that supports the development of computational models. I discuss Bayesian models, equivalent illumination models, multidimensional scaling, anchoring theory, spatial filtering models, natural scene statistics, and related work in computer vision. I review open topics in lightness perception that seem ready for progress, including the relationship between lightness and brightness, and developing more sophisticated computational models of lightness in complex scenes.
中文翻译:
复杂场景中的亮度感知
亮度感知是对无色表面颜色的感知:黑色、白色和灰色阴影。亮度长期以来一直是实验心理学的中心研究课题,因为感知表面颜色是一项重要的视觉任务,但由于视网膜图像的深度模糊性,也是一项艰巨的任务。在本文中,我回顾了过去 20 年来在复杂场景中的亮度感知方面的心理物理学工作,重点是支持计算模型开发的工作。我讨论贝叶斯模型、等效照明模型、多维缩放、锚定理论、空间过滤模型、自然场景统计以及计算机视觉中的相关工作。我回顾了似乎已经准备好进行的亮度感知的开放主题,包括亮度和亮度之间的关系,