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首页> 外文会议>Conference on Applications of Digital Image Processing XXV, Jul 8-10, 2002, Seattle, Washington, USA >Landweber-type iterative demosaicking for a single solid state color image sensor
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Landweber-type iterative demosaicking for a single solid state color image sensor

机译：用于单个固态彩色图像传感器的Landweber型迭代去马赛克

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This paper presents a Landweber-type iterative demosaicking method for a single solid state color image sensor using three primary color filters of the Bayeris pattern. The iterative demosaicking method can restore a high-resolution color image much better than the existing non-iterative demosaicking methods using switchover-type interpolation filters. This paper, extending the idea of our previously presented image acquisition scheme using an imperfect image sensor with defect pixels, forms the iterative demosaicking method. Our previous scheme prepares a defect-pixel map in advance, and then takes a defocused image with an imperfect image sensor. Utilizing the defect-pixel map and the information that each pixel shares with its adjacent pixels, it recovers defect pixels and simultaneously sharpens the blurred image. As the recovery technique, we have formed the Landweber-type iterative algorithm. Taking it into account that decimated color pixels caused by the color filters correspond to defect pixels in the above recovery problem, we adapt our previous iterative recovery method to the demosaicking problem. Furthermore, to restrain the occurrence of false color caused by the demosaicking and simultaneously to preserve original hue variations as thoroughly as possible, this paper forms a hybrid demosaicking method that first applies the Landweber-type iterative algorithm to the interpolation of the green color component and then performs the interpolation of the red and the blue components with some existing hue- or chrominance-preserving-type method. Experiments using test images and color images really taken with a high-resolution digital color camera demonstrate that our hybrid demosaicking method reproduces a sharpened high-resolution color image without producing noticeable artifacts of false color.
机译：本文提出了一种使用三个Bayeris图案原色滤镜的单一固态彩色图像传感器的Landweber型迭代去马赛克方法。与使用切换型插值滤波器的现有非迭代去马赛克方法相比，迭代去马赛克方法可以更好地恢复高分辨率彩色图像。本文通过使用具有缺陷像素的不完美图像传感器扩展了我们先前提出的图像采集方案的思想，形成了迭代去马赛克方法。我们以前的方案是预先准备一个缺陷像素图，然后使用不完善的图像传感器拍摄散焦图像。利用缺陷像素图和每个像素与其相邻像素共享的信息，它可以恢复缺陷像素并同时锐化模糊图像。作为恢复技术，我们形成了Landweber型迭代算法。考虑到在上述恢复问题中由滤色器引起的抽取的颜色像素对应于缺陷像素，我们将我们先前的迭代恢复方法适应去马赛克问题。此外，为了抑制去马赛克引起的伪色的发生并同时尽可能充分地保留原始色相变化，本文形成了一种混合去马赛克方法，该方法首先将Landweber型迭代算法应用于绿色分量的插值和然后使用一些现有的色相或色度保持型方法对红色和蓝色分量进行插值。使用高分辨率数字彩色相机实际拍摄的测试图像和彩色图像进行的实验表明，我们的混合去马赛克方法可再现清晰的高分辨率彩色图像，而不会产生明显的假色伪影。

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