Adaptive-vector LQ filter for color image processing

Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola; Pauli Kuosmanen; Kari P. Saarinen

doi:10.1117/12.279649

14 October 1997 Adaptive vector LQ filter for color image processing

Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Jaakko T. Astola, Pauli Kuosmanen, Kari P. Saarinen

Proceedings Volume 3167, Statistical and Stochastic Methods in Image Processing II; (1997) https://doi.org/10.1117/12.279649
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Robust adaptive vector filtering algorithms applicable to color and multichannel image processing are proposed. They are based on the use of Q-parameter that is a vector analog of quasirange. Considered algorithms have a good combination of properties: effective noise reduction, ability to remove spikes, edge and detail preservation, and low computational complexity. Their characteristics are evaluated quantitatively and compared to non-adaptive counterparts. Advantages of proposed algorithms are also demonstrated by simulated image processing results.

Citation Download Citation

Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Jaakko T. Astola, Pauli Kuosmanen, and Kari P. Saarinen "Adaptive vector LQ filter for color image processing", Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); https://doi.org/10.1117/12.279649

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