Demosaicing of color images using pixel level data-dependent triangulation
Demosaicing of color images using pixel level data-dependent triangulation
复制标题
使用像素级数据相关三角测量对彩色图像进行去马赛克
DOI：
10.1109/tpcg.2003.1206926
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
P. Willis
中科院分区：
文献类型：
--
作者：
Dan Su;P. Willis
单芯片数码相机使用一系列覆盖有滤色器阵列的广谱电荷耦合器件 (CCD)。滤光层由红色、绿色和蓝色的透明色块组成，以便每个 CCD 像素捕获这些原色中的一种。为了以全 CCD 分辨率重建彩色图像，必须从附近的样本中插值“缺失”的主要值。我们使用简单的像素级数据相关三角测量提出了一种有效的颜色插值。该插值技术应用于常用的拜耳滤色器阵列图案。结果表明，与其他方法相比，该方法具有优异的重建质量，视觉缺陷更小。此外，该方法的复杂度和效率非常接近简单的双线性插值，使其易于实现且运行速度快。
Single-chip digital cameras use an array of broad-spectrum charge-coupled devices (CCD) overlayed with a color filter array. The filter layer consists of transparent patches of red, green and blue, such that each CCD pixel captures one of these primary colors. To reconstruct a color image at the full CCD resolution, the 'missing' primary values have to be interpolated from nearby samples. We present an effective color interpolation using a simple pixel level data-dependent triangulation. This interpolation technique is applied to the commonly-used Bayer colour filter array pattern. Results show that the proposed method gives superior reconstruction quality, with smaller visual defects than other methods. Furthermore, the complexity and efficiency of the proposed method is very close to simple bilinear interpolation, making it easy to implement and fast to run.