Paper Info
Title
A generic demosaicing algorithm based on a diffusion model
Abstract
In this paper, a diffusion-based generic demosaicing algorithm is proposed which can be used for various sensor images captured by digital cameras equipped with various RGB color filter arrays. This algorithm improves our previous edge-sensing generic demosaicing algorithm by enhancing the computation of the green band. In fact, since the green band plays a major and crucial role in the performance of the edge-sensing generic demosaicing algorithm, a diffusion-based model is used for reducing the errors generated when computing the green band. A series of tests has been made on images of the Kodak database, and our diffusion-based demosaicing algorithm performs better than the edge-sensing generic demosaicing algorithm in regard to both subjective and objective evaluation.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638103
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
cameras,filtering theory,image colour analysis,image segmentation,Kodak database,RGB color filter arrays,diffusion-based generic demosaicing algorithm,digital cameras,edge-sensing generic demosaicing algorithm,error reduction,green band,objective evaluation,sensor images,subjective evaluation,Demosaicing,color filter array,diffusion,inverse diffusivity,spectral interpolation
Bayer filter,Computer vision,Pattern recognition,Computer science,Algorithm,Image segmentation,Demosaicing,Artificial intelligence,RGB color model,Filtering theory,Diffusion (business),Computation
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Alain Horé11699.54
Djemel Ziou2139599.40
Marie Flavie Auclair-fortier3343.65
Auclair-Fortier, M.-F.400.34