Generalized Wiener Reconstruction of Images from Colour Sensor Data Using a Scale Invariant Prior

An algorithm is described for reconstructing images from colour sensor samples, which need not be aligned nor conform to a rectangular sampling geometry. The algorithm has applications in demosaicing digital camera CFA data, and processing other imaging modalities such as scanned images and captured video. A unique scale invariant WSS prior model is described for the uncorrupted surface spectral reflectance functions and used to form LLMSE optimal reconstructions with constrained support operators. Some important results are established concerning the existence and tractability of the solutions based on this prior.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: David Taubman
• Keywords: ICIP 2000, Image Processing, Rectangular Sampling Geometry, Surface Spectral Reflectance, WSS Prior Model