外围区域增强几何补偿图像从鱼眼镜头

Donggyun Kim, Seonyung Kim, J. Paik, Junghoon Jung, Taechan Kim
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引用次数: 2

摘要

本文提出了一种用于鱼眼镜头几何补偿图像的外围区域增强方法。该方法提供了一种基于鱼眼镜头退化模型的新型滤波方法。更具体地说,我们首先提出了一种基于几何畸变的通用高斯函数的空间变图像退化模型。然后,我们应用截断约束最小二乘(TCLS)滤波器以实时、自适应的方式恢复图像的外围区域。实验结果表明,该方法可以在保持高质量中心区域的同时增强外围区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Peripheral region enhancement of geometrically compensated images from a fisheye lens
In this paper, we propose a peripheral region enhancement method for geometrically compensated images from a fisheye lens. The proposed method provides a novel filtering method based on the degradation model of a fisheye lens. More specifically, we first present a space-variant image degradation model using generic Gaussian function with geometric distortion. We then apply the truncated constraint least squares (TCLS) filter for restoring the peripheral region of the image in the real-time, space-adaptive manner. Experimental results demonstrate that the proposed method can enhance the peripheral region while keeping the high-quality center region.
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