Vector color filter array demosaicing
Vector color filter array demosaicing
复制标题
矢量滤色镜阵列去马赛克
DOI：
10.1117/12.426974
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Ting Chen
中科院分区：
文献类型：
--
作者：
M. Gupta;Ting Chen
单传感器数码相机使用滤色器阵列(CFA)对输入图像进行空间采样。因此，每个像素只包含一个颜色值。为了重建原始的全色图像，必须执行去马赛克步骤，该步骤在每个像素处内插缺失的颜色。CFA去马赛克的目标包括颜色保真度、空间分辨率、没有假颜色、没有锯齿边缘和计算实用性。大多数去马赛克算法在色彩保真度方面做得很好，但通常在清晰图像和所谓的拉链效应或锯齿状边缘外观之间存在权衡。我们提出了一种新的去马赛克算法，称为向量去马赛克，它通过选择到周围像素的距离和最小的颜色向量来联合插入缺失的颜色。所选颜色向量是周围像素的向量中值。向量的中值形成了一个“平均值”，但保留了尖锐的边缘。我们将讨论我们方法背后的理论，并通过实验展示理论优势如何在保持平滑的同时提高边缘分辨率。计算复杂性被证明是可能的相当低的，我们讨论了不同的近似如何影响输出。
Single-sensor digital cameras spatially sample the incoming image using a color filter array (CFA). Consequently, each pixel only contains a single color value. In order to reconstruct the original full-color image, a demosaicing step must be performed which interpolates the missing colors at each pixel. Goals in CFA demosaicing include color fidelity, spatial resolution, no false colors, no jagged edges, and computational practicality. Most demosaicing algorithms do well for color fidelity, but there is often a trade-off between a sharp image and the so-called 'zipper effect' or jagged edge look. We propose a novel demosaicing algorithm called vector demosaicing that interpolates missing colors jointly by selecting the color vector that minimizes the sum of distances to the surrounding pixels. The selected color vector is a vector median of the surrounding pixels. The vector median forms an 'average', but preserves sharp edges. We will discuss the theory behind our approach and show experimentally how the theoretical advantages manifest themselves to improve edge resolution while retaining smoothness. Computational complexity is shown to be possible quite low, and we discuss how different approximations may affect the output.