A saturation-based adaptive gradient interpolation algorithm is developed for Bayer pattern images obtained in single-sensor digital cameras. The proposed algorithm uses the concept of pseudo-saturation for 2×2 blocks of the image. The algorithm adapts the scheme of interpolation based on the classification of the pseudo-saturation of Bayer pattern images. Compared with other algorithms, the proposed method preserves fine details, reduces false colours, and distortions around edges and sharp features of the colour image reconstructed from different kinds of Bayer pattern images.
Saturation-based adaptive inverse gradient interpolation for Bayer pattern images
2001-06-01
7 pages
Aufsatz (Zeitschrift)
Englisch
image classification , Bayer pattern images , single-sensor digital cameras , colour image reconstruction , cross-ratio interpolation , saturation-based adaptive inverse gradient interpolation , computational complexity , adaptive signal processing , false colour reduction , pseudo-saturation , cameras , interpolation , gradient methods , fine details preservation , self-interpolation , inverse problems , distortions reduction , image colour analysis
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