Abstract
Single–chip color cameras use a color filter array to sample only one color per pixel. The missing information is interpolated with demosaicking algorithms. Several state–of–the–art and more recent demosaicking methods are compared in this paper. The aim is to find the method best suited for use in computer vision tasks. For this, the mean squared error for various images and for typical color spaces (RGB, HSI and Irb) is measured. The high inter–channel correlation model which is widely used to improve interpolation in textured regions is shown to be inaccurate in colored areas. Consequently, a compromise between good texture estimation and good reconstruction in colored areas must be found, e.g. with the methods by Lu et al.9 and Freeman2.
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Images available in color at: http://www.rcs.ei.tum.de/~faille/demosaicking.html
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Faille, F. (2006). COMPARISON OF DEMOSAICKING METHODS FOR COLOR INFORMATION EXTRACTION. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_119
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DOI: https://doi.org/10.1007/1-4020-4179-9_119
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