26-06-2012, 12:17 PM
Single-Chip Color Cameras and the Human Visual System
[attachment=25543]
Abstract
There is an analogy between single-chip color cameras
and the human visual system in that these two systems acquire
only one limited wavelength sensitivity band per spatial location.
We have exploited this analogy, defining a model that characterizes
a one-color per spatial position image as a coding into luminance
and chrominance of the corresponding three colors per spatial position
image. Luminance is defined with full spatial resolution while
chrominance contains subsampled opponent colors. Moreover, luminance
and chrominance follow a particular arrangement in the
Fourier domain, allowing for demosaicing by spatial frequency filtering.
This model shows that visual artifacts after demosaicing are
due to aliasing between luminance and chrominance and could be
solved using a preprocessing filter. This approach also gives new
insights for the representation of single-color per spatial location
images and enables formal and controllable procedures to design
demosaicing algorithms that perform well compared to concurrent
approaches, as demonstrated by experiments.
[attachment=25543]
Abstract
There is an analogy between single-chip color cameras
and the human visual system in that these two systems acquire
only one limited wavelength sensitivity band per spatial location.
We have exploited this analogy, defining a model that characterizes
a one-color per spatial position image as a coding into luminance
and chrominance of the corresponding three colors per spatial position
image. Luminance is defined with full spatial resolution while
chrominance contains subsampled opponent colors. Moreover, luminance
and chrominance follow a particular arrangement in the
Fourier domain, allowing for demosaicing by spatial frequency filtering.
This model shows that visual artifacts after demosaicing are
due to aliasing between luminance and chrominance and could be
solved using a preprocessing filter. This approach also gives new
insights for the representation of single-color per spatial location
images and enables formal and controllable procedures to design
demosaicing algorithms that perform well compared to concurrent
approaches, as demonstrated by experiments.