DocumentCode
745202
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
Volume
14
Issue
4
fYear
2005
fDate
4/1/2005 12:00:00 AM
Firstpage
439
Lastpage
449
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;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2004.841200
Filename
1407973
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