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Enhanced integrated gradient and its applications to color demosaicing

机译:增强的集成梯度及其应用于彩模的应用

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In this paper, an effective decision-based demosaicing algorithm for Bayer images is presented. An enhanced edge-sensing measure called enhanced integrated gradient (EIG) is exploited to guide the interpolation along the edges. This measure improves the recently proposed integrated gradient (IG) and hence can support more gradient information from various color intensity and color difference planes under the directional compatibility constraint. An adaptive green plane enhancement which works with the EIG is also proposed to further improve the efficiency of the algorithm.
机译:本文介绍了拜耳图像的有效决策去迭代算法。利用称为增强型集成梯度(EIG)的增强的边缘感测度量来引导边缘的插值。该措施改善了最近提出的集成梯度(IG),因此可以在方向兼容性约束下支持来自各种颜色强度和色差平面的更多梯度信息。还提出了一种适应性的绿色平面增强,其适用于EIG,以进一步提高算法的效率。

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