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: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503461
• 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感知的计算过程。虽然具有内在的科学兴趣，但理解色彩感知对于改善数码相机，显示器和打印机的色彩再现也至关重要。此外，它在计算机视觉中的重要应用包括基于颜色的物体识别，以及对阴影、相互反射、湿度和透明度造成的颜色变化的分析。 我们解决这些问题的方法利用了颜色的计算视图;即，人类的颜色感知和颜色用于理解视觉世界的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）致力于全光谱印刷，以克服传统四色CMYK印刷所出现的问题，即在一种光线下相互匹配的印刷颜色在第二种光线下会改变其外观，使其不再匹配。 (2)调查是否彩色图像与超过标准的3个RGB波段可能会导致改善颜色恒定性。到目前为止，我们得到的有趣且违反直觉的结果是，多光谱图像中的额外信息并没有产生显着的改善。(3)通过识别色彩外观理论预测的操作来改进图片渲染，并将其与摄影，视频和电影制作中数十年来实践的操作进行比较。 其目的是正式的一些“艺术”的电影制作技术在现有的色彩外观模型，同时探索这些模型的局限性。(4)探索使用四元数（4元组复数）作为RGB颜色的表示。四元数表示的优点是3个RGB分量被视为单个数字。