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Efficient demosaicing through recursive filtering Brice Chaix de Lavar`ene, David Alleysson, Barthelemy Durette, Jeanny Herault
 

Summary: Efficient demosaicing through recursive filtering
Brice Chaix de Lavar`ene, David Alleysson, Barth´el´emy Durette, Jeanny H´erault
Image and Signal Laboratory, Joseph Fourier University,
Grenoble, France. Email: brice.chaix@lis.inpg.fr
Psychology and Neuro-Cognition Laboratory, Pierre Mend`es France University
Grenoble, France. Email: david.alleysson@upmf-grenoble.fr
Abstract-- We present a computationally efficient demosaicing
algorithm based on a luminance-chrominance model of the
Color Filter Array (CFA) image. We show that the chrominance
information can be estimated using simple low-pass filtering. This
algorithm allows us to use separable recursive filters, which are
particularly adapted for real-time processing. Moreover, while
most of demosaicing algorithms are specific to a particular CFA
(usually the popular Bayer CFA), our method can be applied to
any CFA. We present a linear version of the algorithm and an
adaptive extension.
I. INTRODUCTION
Color demosaicing refers to the operation of constructing a
color image from a mosaic of chromatic samples. In digital
cameras today, the color information is sampled with a single

  

Source: Alleysson, David - Laboratoire de Psychologie et NeuroCognition, Université Pierre Mendes France

 

Collections: Biology and Medicine