Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking
Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking
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DOI：
10.1109/tcsvt.2014.2313896
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发表时间：
2015-08
影响因子：
8.4
通讯作者：
Xiangdong Chen;Liwen He;Gwanggil Jeon;Jechang Jeong
中科院分区：
文献类型：
--
作者：
Xiangdong Chen;Liwen He;Gwanggil Jeon;Jechang Jeong
提出了一种新的彩色滤光片阵列多方向加权插值算法。我们提出的方法有两个贡献去马赛克。首先，与传统的基于两个方向或四个方向的插值方法不同，该方法更大程度地利用了沿着八个方向相邻像素之间的相关性，提高了插值性能。其次，我们提出了一个有效的后处理方法，以减少插值文物的基础上的色差平面。实验结果表明，与传统的最先进的去马赛克算法相比，该算法在客观和主观图像质量上都具有上级性能。此外，该实现具有适度的计算复杂度。
This paper presents a novel multidirectional weighted interpolation algorithm for color filter array interpolation. Our proposed method has two contributions to demosaicking. First, different from conventional interpolation methods based on two directions or four directions, the proposed method exploits to greater degree correlations among neighboring pixels along eight directions to improve the interpolation performance. Second, we propose an efficient postprocessing method to reduce interpolation artifacts based on the color difference planes. Compared with conventional state-of-the-art demosaicking algorithms, our experimental results show the proposed algorithm provides superior performance in both objective and subjective image quality. Furthermore, this implementation has moderate computational complexity.