Highly effective iterative demosaicing using weighted-edge and color-difference interpolations
Highly effective iterative demosaicing using weighted-edge and color-difference interpolations
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DOI：
10.1109/tce.2006.1649690
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发表时间：
2006-09
影响因子：
4.3
通讯作者：
Chung-Yen Su
中科院分区：
文献类型：
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作者：
Chung-Yen Su
去马赛克是通过对从单个传感器滤色器阵列捕获的图像的缺失颜色进行插值来获得全彩图像的过程。本文提供了一种有效且低复杂度的迭代去马赛克算法，该算法应用加权边缘插值来处理绿色像素，然后进行一系列色差插值来更新红色、蓝色和绿色像素。基于我们对图像的实验，我们为算法提供了精心设计的停止条件，并预先确定了适当的插值权重。实验结果表明，所提出的方法在计算成本和图像质量方面都比三种最先进的去马赛克技术要好得多。与逐次逼近算法相比，本文提出的算法将均方误差降低了14.5%，而平均计算成本仅为22%。也就是说，它花费的时间更少，但性能更好。
Demosaicing is a process of obtaining a full-color image by interpolating the missing colors of an image captured from a single sensor color filter array. This paper provides an effective and low-complexity iterative demosaicing algorithm applying a weighted-edge interpolation to handle green pixels followed by a series of color-difference interpolation to update red, blue, and green pixels. Based on our experiments of images, we enable the algorithm a well-designed stopping condition and pre-determine the proper weights of interpolation. Experimental results show that the proposed method performs much better than three state-of-the-art demosaicing techniques in terms of both computational cost and image quality. In comparison to the algorithm of successive approximation, the algorithm proposed here reduces mean squared error up to 14.5% while requiring computational cost only 22% on average. That is, it takes less time but performs better.