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A simple and robust algorithm for the detection of multidirectional scratch from digital images

机译:一种简单稳健的算法,用于检测数字图像的多向划痕

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Over time, old films and pictures are eroded and often get corrupted with physical scratches. Digitization of these physically corrupted films lead to the presence of various scratch marks and aberrations oriented along multiple directions in the digitized image. Detection of these scratches for subsequent restoration is a rather difficult task because of the sensitiveness to noise and interference of background contour textures. To address this problem, we propose a highly robust and real time spatial scratch detection algorithm for static images. We deal with the more potent problem of detecting scratches in images regardless of orientation, color or shape by coupling binary detection with Hough Transformation and image rotation. Unavailability of temporal information makes such detection even more challenging. Experimental results suggest the effectiveness of our proposed method keeping in consideration computational time complexity constraints.
机译:随着时间的推移,旧电影和图片被侵蚀,经常被物理划痕损坏。这些物理损坏的薄膜的数字化导致各种划痕标记和沿数字化图像中的多个方向定向的像差。由于对背景轮廓纹理的噪声和干扰的敏感性,检测随后恢复的这些划痕是相当困难的任务。为了解决这个问题,我们为静态图像提出了一种高稳健和实时的空间划痕检测算法。我们通过耦合二进制检测和霍夫变换和图像旋转来处理图像中的图像中的划痕的划痕更有效的问题。不可用的时间信息使得这种检测更具挑战性。实验结果表明我们提出的方法在考虑计算时间复杂性限制的效果。

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