Demosaicing by smoothing along 1D features

Most digital cameras capture color pictures in the form of an image mosaic, recording only one color channel at each pixel position. Therefore, an interpolation algorithm needs to be applied to reconstruct the missing color information. In this paper we present a novel Bayer pattern demosaicing approach, employing stochastic global optimization performed on a pixel neighborhood. We are minimizing a newly developed cost function that increases smoothness along one-dimensional image features. While previous algorithms have been developed focusing on LDR images only, our optimization scheme and the underlying cost function are designed to handle both LDR and HDR images, creating less demosaicing artifacts, compared to previous approaches.

• Type: Conference
• Year: 2008
• Where: CVPR
• Authors: Boris Ajdin, Matthias B. Hullin, Christian Fuchs, Hans-Peter Seidel, Hendrik P. A. Lensch
• Keywords: Cameras Capture Color, Computer Vision, Cost Function, CVPR 2008, Ldr Images, Missing Color Information, Stochastic Global Optimization