We propose new approaches to demosaicing of spatially sampled image data observed through a color filter array, in which the correlation of color components are exploited in order to reconstruct a subsampled image. Two frameworks for applying existing image denoising algorithms to color filter array data are developed—one for wavelet domain processing, and the other for pixel domain processing.
[wavelet code][pixel code]
K. Hirakawa, X.-L. Meng, P.J. Wolfe, “A Framework for Wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicing,” IEEE ICASSP, 2007. [bibtex][pdf]
K. Hirakawa, “Color Filter Array Image Analysis for Joint Denoising and Demosaicking,” in Single-Sensor Imaging: Methods and Applications for Digital Cameras, ed. R. Lukac, CRC Press, 2008. [bibtex][pdf]
K. Hirakawa, T.W. Parks, “Joint Demosaicing and Denoising,” IEEE Trans. Image Processing, August 2006. [bibtex][pdf]
K. Hirakawa, T.W. Parks, “Joint Demosaicing and Denoising,” IEEE ICIP, 2005. [bibtex][pdf]