Robust Correction Step for CFA Interpolation Schemes (TA-P7)

Author(s) : Rastislav Lukac (University of Toronto, Canada) Karl Martin (University of Toronto, Canada) Konstantinos Plataniotis (University of Toronto, Canada) Bogdan Smolka (Silesian University of Technology, Poland)

Abstract : This paper presents an efficient postprocessing/correction method capable of reducing visual artifacts introduced during the color filter array interpolation process. Edge-sensing weights and the original color filter array data are used to detect structural elements in the original image and correct previously interpolated color components accordingly. The method produces excellent results in terms of both objective and subjective image quality measures.

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