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|Title:||Wavelet frame based color image demosaicing||Authors:||Liang, J.
|Keywords:||Color image demosaicing
Operator splitting method
|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 . 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|
|Appears in Collections:||Staff Publications|
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