Demosaicing using optimal recovery
Demosaicing using optimal recovery
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DOI：
10.1109/tip.2004.838697
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发表时间：
2005-02
影响因子：
10.6
通讯作者：
D. D. Muresan-D.;T. Parks
中科院分区：
文献类型：
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作者：
D. D. Muresan-D.;T. Parks
单芯片数码相机中的颜色图像是通过插值镶嵌的颜色样品获得的。这些样品在单芯片电荷耦合设备中编码，通过在颜色过滤器阵列（CFA）中对光进行采样，该光阵列（CFA）以某种模式放置了不同的颜色过滤器（即红色，绿色和蓝色）。将所得的三色平面的稀疏采样图像插值以获得完整的颜色图像。插值通常是由于CFA稀疏采样引入的相移，混叠信号而引入的颜色伪影。本文基于边缘信息引入了非线性插值方案，该方案产生高质量的视觉结果。新方法特别擅长重建边缘周围的图像，在这个地方，视觉人类系统最敏感的地方。
Color images in single-chip digital cameras are obtained by interpolating mosaiced color samples. These samples are encoded in a single-chip charge-coupled device by sampling the light after it passes through a color filter array (CFA) that contains different color filters (i.e., red, green, and blue) placed in some pattern. The resulting sparsely sampled images of the three-color planes are interpolated to obtain the complete color image. Interpolation usually introduces color artifacts due to the phase-shifted, aliased signals introduced by the sparse sampling of the CFAs. This paper introduces a nonlinear interpolation scheme based on edge information that produces high-quality visual results. The new method is especially good at reconstructing the image around edges, a place where the visual human system is most sensitive.