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Abstract
It has now been 20 years since the seminal work by Finlayson et al. on the use of spectral sharpening of sensors to achieve diagonal color constancy. Spectral sharpening is still used today by numerous researchers for different goals unrelated to the original goal of diagonal color constancy e.g., multispectral processing, shadow removal, location of unique hues. This paper reviews the idea of spectral sharpening through the lens of what is known today in color constancy, describes the different methods used for obtaining a set of sharpening sensors and presents an overview of the many different uses that have been found for spectral sharpening over the years.
Highlights
Our visual system has a striking ability in allowing us to deal with color
While human color constancy relies on the perception of the colors, computational color constancy relies on the absolute color values of the objects viewed under a canonical illuminant, without considering how the image is perceived by an observer
The formula presented in Equation (44) is good for a first inspection on how the methods work with simple diagonal color constancy
Summary
Our visual system has a striking ability in allowing us to deal with color. we are far from fully understanding its behavior. To gain an insight into how our visual system works, some assumptions are often made: first, it is assumed that there is a single illuminant in the scene which is spatially uniform, and second, it is assumed that objects are flat, coplanar, and Lambertian, i.e., their reflectances are diffuse and independent from the angle of view Following these assumptions light energy reaching our eye depends on the spectral power distribution of the illuminant ( E(λ), where λ spans the visible spectrum) and the spectral reflectance distribution of the object we are looking at (R(λ)). This property of our visual system is called color constancy
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