Super-resolution processing of the partial pictorial image of the single pictorial image which eliminated artificiality

Yuichiro Yamada, Daisuke Sasagawa
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Abstract

Recently, the number of security cameras (CCTV) for crime prevention has increased rapidly in Japan for the purpose of establishing safe society. As a result, the number of opportunity of utilizing movies of CCTVs has increased in criminal investigation. Last year, we proposed the super-resolution technique using manual sub-pixel shifting process in the 45th ICCST. However, if manually processed images are used as evidence in a criminal trial, a doubt about artificiality in those images might come out. For the images to be treated more properly, a new utilizable super-resolution technique in criminal investigation is proposed in this paper. The biggest point of the proposed technique is that the target images are processed automatically without any artificiality. The new super-resolution technique utilizes a newly designed algorithm with Bilateral Filter. We have developed the new application software using the algorithm. We also compare images processed by the proposed technique with ones processed by the manual sub-pixel shifting process, in order to evaluate the effectiveness of the proposed technique. In conclusion, any person can get the same result by using this technique. Doubts will not arise if images processed by the proposal are used as evidential images in criminal trials.
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对单幅图像的部分图像进行超分辨率处理,消除了人为因素
最近,在日本,为了建立安全社会,用于预防犯罪的闭路电视(CCTV)的数量迅速增加。因此,在刑事调查中利用闭路电视影像的机会增加了。去年,我们在第45届ICCST上提出了人工亚像素移动的超分辨率技术。然而,如果人工处理的图像被用作刑事审判的证据,可能会对这些图像的人为性产生怀疑。为了使图像得到更好的处理,本文提出了一种新的刑事侦查应用超分辨率技术。该技术最大的特点是对目标图像进行自动处理,不需要任何人为因素。新的超分辨率技术采用了一种新设计的双边滤波算法。我们利用该算法开发了新的应用软件。我们还将该技术处理的图像与人工亚像素移位处理的图像进行了比较,以评估该技术的有效性。总之,任何人都可以通过使用这种技术得到相同的结果。将该方案处理后的图像作为刑事审判的证据图像使用,不会产生疑点。
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