[IPOL discuss] [IPOL announce] new article: A Demosaicking Algorithm with Adaptive Inter-Channel Correlation
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Mon Dec 21 10:35:12 CET 2015
A new article is available in IPOL: http://www.ipol.im/pub/art/2015/145/
Joan Duran, and Antoni Buades,
A Demosaicking Algorithm with Adaptive Inter-Channel Correlation,
Image Processing On Line, 5 (2015), pp. 311–327.
http://dx.doi.org/10.5201/ipol.2015.145
Abstract
Most common cameras use a CCD sensor device measuring a single color per
pixel. Demosaicking is the interpolation process by which one can infer
a full color image from such a matrix of values, thus interpolating the
two missing components per pixel. Most demosaicking methods take
advantage of inter-channel correlation locally selecting the best
interpolation direction. The obtained results look convincing except
when local geometry cannot be inferred from neighboring pixels or
channel correlation is low. In these cases, these algorithms create
interpolation artifacts such as zipper effect or color aliasing. This
paper discusses the implementation details of the algorithm proposed in
[J. Duran, A. Buades, ``Self-Similarity and Spectral Correlation
Adaptive Algorithm for Color Demosaicking'', IEEE Transactions on Image
Processing, 23(9), pp. 4031--4040, 2014]. The proposed method involves
nonlocal image self-similarity in order to reduce interpolation
artifacts when local geometry is ambiguous. It further introduces a
clear and intuitive manner of balancing how much channel-correlation
must be taken advantage of.
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