Linear demosaicing inspired by the human visual system
Linear demosaicing inspired by the human visual system
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DOI：
10.1109/tip.2004.841200
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发表时间：
2005-04-01
影响因子：
10.6
通讯作者：
Hérault, J
中科院分区：
文献类型：
--
作者：
Alleysson, D;Süsstrunk, S;Hérault, J
单芯片彩色相机和人类视觉系统之间有一个相似之处，这两个系统在每个空间位置只获得一个有限的波长敏感波段。我们利用了这种类比，定义了一个模型，该模型将每个空间位置图像的一种颜色表征为每个空间位置图像对应的三种颜色的亮度和色度的编码。亮度定义为全空间分辨率，而色度包含二次采样的对立色。此外，亮度和色度遵循傅里叶域中的特定排列，允许通过空间频率滤波进行去马赛克。该模型表明，去马赛克后的视觉伪影是由于亮度和色度之间的混叠造成的，可以使用预处理过滤器来解决。该方法还为每个空间位置的单色图像的表示提供了新的见解，并使形式化和可控的过程能够设计出与并发方法相比执行得更好的去马赛克算法，实验证明。
There is an analogy between single-chip color cameras and the human visual system in that these two systems acquire only one limited wavelength sensitivity band per spatial location. We have exploited this analogy, defining a model that characterizes a one-color per spatial position image as a coding into luminance and chrominance of the corresponding three colors per spatial position image. Luminance is defined with full spatial resolution while chrominance contains subsampled opponent colors. Moreover, luminance and chrominance follow a particular arrangement in the Fourier domain, allowing for demosaicing by spatial frequency filtering. This model shows that visual artifacts after demosaicing are due to aliasing between luminance and chrominance and could be solved using a preprocessing filter. This approach also gives new insights for the representation of single-color per spatial location images and enables formal and controllable procedures to design demosaicing algorithms that perform well compared to concurrent approaches, as demonstrated by experiments.