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

机译:一种简单而强大的算法,可从数字图像中检测出多向刮痕

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摘要

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:随着时间的流逝,旧的胶卷和图片会被腐蚀,并经常因物理刮擦而损坏。这些物理损坏的胶片的数字化导致在数字化图像中沿多个方向取向的各种划痕和像差的存在。由于对噪声的敏感性和背景轮廓纹理的干扰,检测这些划痕以进行后续修复是相当困难的任务。为了解决这个问题,我们为静态图像提出了一种高度健壮和实时的空间划痕检测算法。通过将二进制检测与霍夫变换和图像旋转相结合,我们解决了检测图像划痕(无论方向,颜色或形状如何)的更有效的问题。时间信息的不可用使得这种检测更具挑战性。实验结果表明,在考虑计算时间复杂度约束的情况下,我们提出的方法的有效性。

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