AbstractIn this paper we consider the problem of removing achromatic reflections from a picture of a scene taken through a semi-tra'/> Removal of achromatic reflections from a single color image
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Removal of achromatic reflections from a single color image

机译:从单个彩色图像中去除消色差反射

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AbstractIn this paper we consider the problem of removing achromatic reflections from a picture of a scene taken through a semi-transparent medium, assuming that the reflection pattern is due to a light source or another object located in front of the object of interest. While other works assume the availability of multiple observations, we consider the more challenging problem of having as data a single color image. We suppose a data model where the virtual reflected image combines additively with the real transmitted image of the object, through unknown coefficients. This highly underdetermined problem is handled by means of a blind estimation technique that exploits the strict dependence of the gradients of the three color channels of the ideal image, and their independence from the gradient of the grayscale reflected image. The model parameters are estimated through independent component analysis, and then the component images are estimated through a regularization technique. The whole algorithm is very fast, and its performance is quantitatively evaluated on numerically generated images, and qualitatively tested on real images.]]>
机译:<![cdata [ <标题>抽象 ara>在本文中,我们考虑从半半拍摄的场景图片中删除消除消除镜的问题 - 假设反射图案是由于光源或位于感兴趣的对象前面的另一个物体的介质。虽然其他作品假设多次观察的可用性,但我们考虑更具有挑战性的问题,因为数据具有单个颜色图像。我们假设虚拟反射图像通过未知系数与对象的真实发送的图像加剧地组合的数据模型。该高度未确定的问题通过盲估计技术处理,该技术利用理想图像的三种颜色信道的梯度的严格依赖性,以及它们与灰度反射图像的梯度的独立性的严格依赖性。通过独立分量分析估计模型参数,然后通过正则化技术估计分量图像。整个算法非常快,并且其性能在数值生成的图像上定量评估,并在真实图像上进行定性测试。 ]]>

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