[IPOL announce] new article: A Demosaicking Algorithm with Adaptive Inter-Channel Correlation

[announcements about the IPOL journal]

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.