Since most digital cameras use color filter arrays to sample red, green, and blue colors by a specific pattern, only one color sample would be taken at every pixel location. The process named demosaicking is exploited to recover the full-color image from the incomplete color samples. The paper presents a novel demosaicking method based on two-dimensional continuous 3 × 3 order HMM (2D 3 × 3 CHMM), which incorporates the statistics of high resolution images into the CFA interpolation process. The proposed new method adopts an approach of MAP sequence estimation and exploits high-order statistical dependency between missing pixels. Experiment results demonstrate that the proposed method outperforms several existing or state-of-the-art demosaicking techniques in terms of both objective and subjective evaluations.

中文翻译：

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二维连续3×3阶隐马尔可夫模型的去马赛克

由于大多数数码相机都使用滤色镜阵列按特定图案对红色，绿色和蓝色进行采样，因此在每个像素位置只能进行一次颜色采样。利用名为demosaicking的过程从不完整的颜色样本中恢复全色图像。本文提出了一种基于二维连续3×3阶HMM（2D 3×3 CHMM）的新型去马赛克方法，该方法将高分辨率图像的统计信息纳入了CFA插值过程。提出的新方法采用了MAP序列估计的方法，并利用缺失像素之间的高阶统计依赖性。实验结果表明，该方法在客观和主观评估方面均优于几种现有的或最新的去马赛克技术。