A Regularization Approach to Demosaicking
D. Menon and G. Calvagno
Proc. of IS&T/SPIE Conference on
Visual Communication and Image Processing (VCIP),
Jan. 2008, San Jose, CA (invited paper, IBM Student Travel Grant)
Demosaicking is the process of reconstructing a full resolution color image from the sampled
data acquired by a digital camera that apply a color filter array to a single sensor. In
this paper, we propose a regularization approach to demosaicking, making use of some prior
knowledge about natural color images, such as smoothness of each single color component and
correlation between the different color channels. Initially, a quadratic strategy is
considered and a general approach is reported. Then, an adaptive technique is analyzed,
in order to improve the reconstruction near the edges and the discontinuities of the image.
This is performed using a novel strategy that avoids computational demanding iterations.
The proposed approach provides good performances and candidates itself for many applications.