Translator Disclaimer
27 February 2007 Color filter array interpolation based on spatial adaptivity
Author Affiliations +
Abstract
Conventional approach in single-chip digital cameras is a use of color filter arrays (CFA) in order to sample different spectral components. Demosaicing algorithms interpolate these data to complete red, green, and blue values for each image pixel, in order to produce an RGB image. In this paper we propose a novel demosaicing algorithm for the Bayer CFA. It is assumed that the initial estimates of color channels contain two additive components: the true values of color intensities and the errors. The errors are considered as an additive noise, and often called as a demosaicing noise, that has been removed. However, this noise is not white and strongly depends on a signal. Usually, the intensity of this noise is higher near edges of image details. We use spatially designed signal-adaptive filter to remove the noise. This filter is based on the local polynomial approximation (LPA) and the paradigm of the intersection of confidence intervals (ICI) applied for selection adaptively varying scales (window sizes) of LPA. The LPA-ICI technique is nonlinear and spatially-adaptive with respect to the smoothness and irregularities of the image. The efficiency of the proposed approach is demonstrated by simulation results.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmitriy Paliy, Radu Bilcu, Vladimir Katkovnik, and Markku Vahviläinen "Color filter array interpolation based on spatial adaptivity", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649707 (27 February 2007); https://doi.org/10.1117/12.713354
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Color estimation error trade-offs
Proceedings of SPIE (May 15 2003)
Selection vector filter framework
Proceedings of SPIE (October 08 2003)
Vector median-rational hybrid filters
Proceedings of SPIE (June 21 1999)

Back to Top