Computational colour vision

计算色觉

• 批准号: 4322-2009
• 负责人: Funt, Brian
• 金额: $ 2.91万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=473816
• 关键词: Computational; colour; vision

The overall objective of this research is to fully understand the computational processes underlying colour perception. While of intrinsic scientific interest, understanding colour perception is also essential for improving colour reproduction in the context of digital cameras, displays, and printers. In addition, it has important applications in computer vision in terms of colour-based object recognition, and the analysis of the colour changes created by shadows, interreflections, wetness and transparency. Our approach to these issues utilizes the computational view of colour; i.e., that human colour perception and the ways in which colour is used in understanding the visual world can be explored and explained as computational processes. Specific short-term objectives include: (1) Working on full-spectrum printing to overcome the problem that arises with traditional 4-colour CMYK printing; namely, that printed colours that match one another under one light can, under a second light, change their appearance such that they no longer match. (2) Investigating whether colour images with more than the standard 3 RGB bands might lead to improved colour constancy. The interesting and counterintuitive result we have so far is that the extra information in multispectral images does not yield significant improvement. (3) Improving picture rendering by identifying the manipulations that are predicted by colour appearance theory and compare those to the manipulations that have been practiced for decades in photography, video, and motion picture production. The aim is to formalize some of the 'art' of film making techniques in terms of existing colour appearance models and simultaneously explore the limitations of these models. (4) Exploring uses of quaternions (4-tuple complex numbers) as a representation for RGB colours. The quaternion representation has the advantage that the 3 RGB components are treated as a single number.

这项研究的总体目标是充分了解颜色知觉背后的计算过程。理解色彩感知对于改善数码相机、显示器和打印机环境中的色彩再现也是至关重要的，这是一种固有的科学兴趣。此外，在基于颜色的目标识别以及分析由阴影、互反射、湿度和透明度产生的颜色变化方面，它在计算机视觉方面具有重要的应用。我们解决这些问题的方法利用了对颜色的计算观点；即，人类对颜色的感知和颜色在理解视觉世界中的使用方式可以被探索和解释为计算过程。具体的短期目标包括：(1)致力于全光谱打印，以克服传统的4色CMYK打印所产生的问题；即，在一个光下相互匹配的打印颜色可以在第二个光下改变其外观，从而不再匹配。(2)研究超过标准3个RGB条带的彩色图像是否可能导致颜色稳定性的提高。到目前为止，我们得到的有趣和违反直觉的结果是，多光谱图像中的额外信息并没有产生显著的改善。(3)通过识别颜色外观理论预测的操作，并将这些操作与在摄影、视频和电影制作中实践了数十年的操作进行比较，来改进图像渲染。其目的是根据现有的色彩外观模型来形式化一些电影制作技术的“艺术”，同时探索这些模型的局限性。(4)探索四元数(四元组复数)作为RGB颜色表示的用途。四元数表示法的优点是将3个RGB分量视为单个数字。