Kingdom Frederick A A
McGill Vision Research, 687 Pine Av. W. Rm. H4-14, Montreal, QC, Canada H3A 1A1.
Vision Res. 2011 Apr 13;51(7):652-73. doi: 10.1016/j.visres.2010.09.012. Epub 2010 Sep 19.
The past quarter century has witnessed considerable advances in our understanding of Lightness (perceived reflectance), Brightness (perceived luminance) and perceived Transparency (LBT). This review poses eight major conceptual questions that have engaged researchers during this period, and considers to what extent they have been answered. The questions concern 1. the relationship between lightness, brightness and perceived non-uniform illumination, 2. the brain site for lightness and brightness perception, 3 the effects of context on lightness and brightness, 4. the relationship between brightness and contrast for simple patch-background stimuli, 5. brightness "filling-in", 6. lightness anchoring, 7. the conditions for perceptual transparency, and 8. the perceptual representation of transparency. The discussion of progress on major conceptual questions inevitably requires an evaluation of which approaches to LBT are likely and which are unlikely to bear fruit in the long term, and which issues remain unresolved. It is concluded that the most promising developments in LBT are (a) models of brightness coding based on multi-scale filtering combined with contrast normalization, (b) the idea that the visual system decomposes the image into "layers" of reflectance, illumination and transparency, (c) that an understanding of image statistics is important to an understanding of lightness errors, (d) Whittle's logW metric for contrast-brightness, (e) the idea that "filling-in" is mediated by low spatial frequencies rather than neural spreading, and (f) that there exist multiple cues for identifying non-uniform illumination and transparency. Unresolved issues include how relative lightness values are anchored to produce absolute lightness values, and the perceptual representation of transparency. Bridging the gap between multi-scale filtering and layer decomposition approaches to LBT is a major task for future research.
在过去的二十五年里,我们对明度(感知反射率)、亮度(感知亮度)和感知透明度(LBT)的理解取得了显著进展。本综述提出了在此期间吸引研究人员的八个主要概念性问题,并探讨了这些问题在多大程度上得到了解答。这些问题涉及:1. 明度、亮度与感知到的非均匀照明之间的关系;2. 明度和亮度感知的脑区;3. 背景对明度和亮度的影响;4. 简单斑块 - 背景刺激下亮度与对比度的关系;5. 亮度“填充”;6. 明度锚定;7. 感知透明度的条件;8. 透明度的感知表征。对主要概念性问题进展的讨论不可避免地需要评估哪些LBT研究方法可能在长期内取得成果,哪些不太可能,以及哪些问题仍未解决。结论是,LBT中最有前景的发展包括:(a)基于多尺度滤波与对比度归一化相结合的亮度编码模型;(b)视觉系统将图像分解为反射率、照明和透明度“层”的观点;(c)理解图像统计对于理解明度误差很重要;(d)惠特尔的logW对比度 - 亮度度量;(e)“填充”由低空间频率介导而非神经扩散的观点;(f)存在多种识别非均匀照明和透明度的线索。未解决的问题包括相对明度值如何锚定以产生绝对明度值,以及透明度的感知表征。弥合LBT的多尺度滤波和层分解方法之间的差距是未来研究的一项主要任务。