基于彩色滤光阵列的近似值估计自适应校正算法

本篇论文提出了一种有效的基于彩色滤波阵列（CFA）图像内插领域的近似值估计自适应校正算法。通过估计领域像素点的性能而自适应的调整并组合权重因子,可以获得比现有的按照感知特性来考虑权重的方法更好的性能。实验结果也显示了这种自适应算法在CFA图像内插中的应用结果。

Adaptive nalibrating flgorithm for fpproximation yvaluation based on color filter array

This paper presents an effectively adaptive calibrating algorithm based on adjacent region analysis for demosaicking RGB（red green blue） images using Bayer CFA（color filter array） pattern images.The proposed method outperforms the existing weighing approach in terms of the perceptual quality.Combinational weight factor can be adaptively adjusted by estimating the neighbor pixels properties.Experimental results show that this adaptive algorithm is effective both in implementation and in output quality.