|
|
 |
|
|
|
|
|
|
|
Digital cameras share a number of front-end properties with the human eye. Thus models of how the eye and brain process the signals transduced by the photoreceptors may serve as image processing algorithms and vice-versa. The goal of my research on digital color imaging is to develop and evaluate algorithms for improving camera performance. Some of this effort is thus algorithmic, while another part has to do with evaluation. As part of the later, we have developed techniques for simululating the output of digital cameras from hyperspectral image data. By using simulated output, we can explore the effects of varying camera design parameters without actually having to build many different cameras. We are also interested in using imaging technologies to try to characterize the statistics of natural images, particularly in the domain of color.
David Brainard: 16 July, 2006