结合Bayer模式与局部相关模型的Demosaicing算法

结合差值模型与小波变换理论,提出高频相似模型,并在理论分析的基础上,给出产生该模型时小波变换应满足的条件;从Bayer模式的内在特征出发,找到其与小波变换过程巧妙结合的方法,进而提出了R,B平面的一种有效重构方法.该方法不用迭代,大大缩短了重建时间,与Gunturk等所提方法的计算代价之比为19∶432.文中还给出了一种完整的demosaicing算法,对比实验表明,所提算法在重建效果和计算代价上都明显占优.

A Demosaicing Algorithm Based on Bayer Pattern and Local Correlation Model

First,a high-frequency similar model is presented based on the integration of color difference model and wavelet transform theory,and then a condition is deduced based on theoreti- cal analyses.In order to construct the model,this condition should be met in the process of wave- let transform.A method for reasonably integrating the characters of Bayer pattern with the process of wavelet transform is presented.If use this method to reconstruct R and B planes,it can greatly decrease the reconstructing time by avoiding iteration.The ratio of computational cost used by this method and used by the one which proposed by Gunturk,et al.is 19:432.Finally, a demosaieing algorithm is proposed.Compared with other typical algorithms,the above method shows better on both demosaiciing performance and computational cost.