A generic demosaicing algorithm based on a diffusion model

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 computati...

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Bibliographic Details
Published inProceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 2488 - 2492
Main Authors Hore, Alain, Ziou, Djemel, Auclair-Fortier, Marie-Flavie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2013
Subjects
color filter array
Computational modeling
Demosaicing
diffusion
Diffusion processes
Image color analysis
Image edge detection
Image reconstruction
Interpolation
inverse diffusivity
Mathematical model
spectral interpolation
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ISSN1520-6149
DOI10.1109/ICASSP.2013.6638103

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Summary: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.
ISSN:1520-6149
DOI:10.1109/ICASSP.2013.6638103