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IMPROVED-SDROM filtering for scratches removal from images

机译:改进的SDROM过滤,用于从图像中删除划痕

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摘要

This article is dedicated to the detection and correction of scratches found in old movies. The method we propose is based on the SDROM method (Signal Dependent Rank Ordered Mean) which corrects only the pixels of the detected scratches. A statistical study of the noised images by scratches shows that the amplitude difference of the neighboring pixels in an image outside the scratch is small (less than 10 Gy levels). We find that the scratch can be characterized by a high difference of amplitude of its edges pixels, we propose an approach called IMPROVED SDROM, is constituted by three stages. First for the detection of the scratches we use two neighboring sliding windows (3 × 3 pixels) sweeping the entire image. We show that Δ = m_2-m_1 (with m_1 and m_2 the averages of the two windows), is a relevant parameter for the detection of pixels that can belong to a stripe. The average of each window is calculated after a pre-treatment. Then we locate the stripes and their widths and finally we make the correction by a simple interpolation. Unlike the SDROM method, our approach allows to locate scratches of any width, with simplicity of treatment certainly allows a gain in processing time compared to other methods that will be mentioned in what follows. A study of a set of examples of scratches obtained by simulation and also on real scratches illustrates the validity of our approach.
机译:本文致力于检测和纠正旧电影中发现的划痕。我们提出的方法基于SDROM方法(信号依赖等级排序均值),其仅纠正检测到的划痕的像素。通过划痕对所述声速图像的统计研究表明,划痕外部的图像中的相邻像素的幅度差小(小于10 GY)。我们发现,划痕可以特征在于其边缘像素的幅度的高差异,我们提出一种称为改进的SDROM的方法,由三个阶段构成。首先要检测划痕,我们使用扫描整个图像的两个相邻的滑动窗口(3×3像素)。我们示出了Δ= m_2-m_1(用m_1和m_2两个窗口的平均值),是检测可以属于条带的像素的相关参数。在预处理后计算每个窗口的平均值。然后我们找到条纹及其宽度,最后我们通过简单的插值进行校正。与SDROM方法不同,我们的方法允许定位任何宽度的划痕,并且简单地治疗肯定允许加工时间的增益与其他方法相比,如下所示。通过模拟获得的一组划痕示例的研究和实际划痕示出了我们方法的有效性。

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