Title :
Linear demosaicing inspired by the human visual system
Author :
Alleysson, David ; Süsstrunk, Sabine ; Hérault, Jeanny
Author_Institution :
Ecole Polytechnique Fed. de Lausanne, Lab. for AudioVisual Commun., Lausanne, Switzerland
fDate :
4/1/2005 12:00:00 AM
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.
Keywords :
Fourier analysis; brightness; cameras; filtering theory; image coding; image colour analysis; image representation; image resolution; image segmentation; Fourier domain; human visual system; limited wavelength sensitivity band; linear demosaicing; preprocessing filter; single-chip color camera; spatial frequency filtering; spatial position image; Cameras; Color; Humans; Image reconstruction; Laboratories; Lattices; Nonlinear filters; Retina; Sensor arrays; Visual system; Color; Fourier analysis; demosaicing; linear filtering; Algorithms; Artificial Intelligence; Biomimetics; Color; Colorimetry; Computer Graphics; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Vision;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2004.841200