Adaptive homogeneity-directed demosaicing algorithm
Adaptive homogeneity-directed demosaicing algorithm
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DOI：
10.1109/tip.2004.838691
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发表时间：
2005-03-01
影响因子：
10.6
通讯作者：
Parks, TW
中科院分区：
文献类型：
--
作者：
Hirakawa, K;Parks, TW
经济高效的数码相机使用单图像传感器，将红色、绿色和蓝色滤色器的交替图案应用到每个像素位置。通过估计每个颜色平面中缺失的像素分量来重建彩色图像的完整三色表示的方法称为去马赛克算法。本文提出了通常与结合二维 (2-D) 方向插值的去马赛克算法相关的三个固有问题：误导色彩伪影、插值色彩伪影和混叠。可以使用度量邻域建模来比较两个图像中存在的误导性颜色伪影的水平。所提出的去马赛克算法通过在颜色伪影较少的方向上进行插值来估计丢失的像素。通过将滤波器组技术应用于二维方向插值来解决混叠问题。使用非线性迭代过程减少插值伪影。使用数字图像的实验结果证实了该方法的有效性。
A cost-effective digital camera uses a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. A way to reconstruct a full three-color representation of color images by estimating the missing pixel components in each color plane is called a demosaicing algorithm. This paper presents three inherent problems often associated with demosaicing algorithms that incorporate two-dimensional (2-D) directional interpolation: misguidance color artifacts, interpolation color artifacts, and aliasing. The level of misguidance color artifacts present in two images can be compared using metric neighborhood modeling. The proposed demosaicing algorithm estimates missing pixels by interpolating in the direction with fewer color artifacts. The aliasing problem is addressed by applying filterbank techniques to 2-D directional interpolation. The interpolation artifacts are reduced using a nonlinear iterative procedure. Experimental results using digital images confirm the effectiveness of this approach.