Please use this identifier to cite or link to this item: https://doi.org/10.3934/ipi.2013.7.777
Title: Wavelet frame based color image demosaicing
Authors: Liang, J.
Li, J.
Shen, Z. 
Zhang, X.
Keywords: Color image demosaicing
Inpainting
Operator splitting method
Wavelet frame
Issue Date: Aug-2013
Citation: Liang, J., Li, J., Shen, Z., Zhang, X. (2013-08). Wavelet frame based color image demosaicing. Inverse Problems and Imaging 7 (3) : 777-794. ScholarBank@NUS Repository. https://doi.org/10.3934/ipi.2013.7.777
Abstract: Color image demosaicing consists in recovering full resolution color information from color-filter-array (CFA) samples with 66.7% amount of missing data. Most of the existing color demosaicing methods [14, 25, 16, 2, 26] are based on interpolation from inter-channel correlation and local geometry, which are not robust to highly saturated color images with small geometric features. In this paper, we introduce wavelet frame based methods by using a sparse wavelet [8, 22, 9, 23] approximation of individual color channels and color differences that recovers both geometric features and color information. The proposed models can be efficiently solved by Bregmanized operator splitting algorithm [27]. Numerical simulations of two datasets: McM and Kodak PhotoCD, show that our method outperforms other existing methods in terms of PSNR and visual quality. © 2013 American Institute of Mathematical Sciences.
Source Title: Inverse Problems and Imaging
URI: http://scholarbank.nus.edu.sg/handle/10635/104458
ISSN: 19308337
DOI: 10.3934/ipi.2013.7.777
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