Color vision and color media processing research in Asia
I will survey the state of color vision and color media processing research in Asia from a computation viewpoint. First, I will discuss briefly the principles of color vision and color measurement. Then I describe why color constancy is important and difficult to be realized in machine vision. The goal of computational color constancy is to recover the physical properties of illuminant and surface from photosensor responses. I introduce a vision system for color constancy and our current results.
Next, I will discuss algorithms for understanding complex color images. Real images exhibit rich and complex structure, whose nature is determined by the physical and geometric properties of illumination, reflection, and imaging. I suggest some reflection models adequate for describing light reflection of a variety of materials. Then approaches are introduced for estimating scene parameters based on the reflection models.
Finally, I will discuss the issue of color management. The concept of device-independent color reproduction of image has received wide spread attention since the advent of desk-top publishing systems. Color reproduction requires color conversion between the color signals, depending on a device, and the standard color coordinates, representing color appearance. Mapping methods are introduced for solving the color conversion problem for color printers.