IPI-TELIN-IMINDS, Ghent University, Ghent, Belgium.
PLoS One. 2013 May 3;8(5):e61846. doi: 10.1371/journal.pone.0061846. Print 2013.
Most digital cameras use an array of alternating color filters to capture the varied colors in a scene with a single sensor chip. Reconstruction of a full color image from such a color mosaic is what constitutes demosaicing. In this paper, a technique is proposed that performs this demosaicing in a way that incurs a very low computational cost. This is done through a (dual-tree complex) wavelet interpretation of the demosaicing problem. By using a novel locally adaptive approach for demosaicing (complex) wavelet coefficients, we show that many of the common demosaicing artifacts can be avoided in an efficient way. Results demonstrate that the proposed method is competitive with respect to the current state of the art, but incurs a lower computational cost. The wavelet approach also allows for computationally effective denoising or deblurring approaches.
大多数数码相机使用排列的颜色滤镜来捕获场景中的不同颜色，使用单个传感器芯片。从这样的彩色镶嵌图重建全彩色图像就是所谓的去马赛克。在本文中，提出了一种在计算成本非常低的情况下执行这种去马赛克的技术。这是通过对去马赛克问题的（双树复小波）解释来实现的。通过使用一种新颖的局部自适应方法对（复）小波系数进行去马赛克，我们表明可以有效地避免许多常见的去马赛克伪像。结果表明，该方法在当前技术水平上具有竞争力，但计算成本较低。小波方法还允许进行计算有效的降噪或去模糊处理。
