[IPOL announce] new article: A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2021/358/

Qiyu Jin, Yu Guo, Gabriele Facciolo, and Jean-Michel Morel,
A Mathematical Analysis and Implementation of Residual Interpolation 
Demosaicking Algorithms,
Image Processing On Line, 11 (2021), pp. 234–283.
https://doi.org/10.5201/ipol.2021.358


Abstract

Demosaicking is the process of reconstructing the full color image from 
its mosaic version on a Bayer pattern. It is an integral part of the 
image processing pipeline for single sensor digital color cameras. 
Demosaicking algorithms based on residual interpolation are interesting 
because they produce competitive results with a low computational 
complexity. In this article, we provide an analysis and careful 
implementation of the most relevant residual based demosaicking 
algorithms. Our contribution is twofold. First, we present an analysis 
of the mathematical principles of demosaicking algorithms from the 
Hamilton-Adams interpolation to the recent 'adaptive residual 
interpolation'. Our analysis untangles the relations of these algorithms 
and how each is improving on the preceding ones. Lastly, we provide a 
comparison between most recent state of the art methods on several image 
data sets and discuss their performances.