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HOSVD Based Image Processing Techniques

机译:基于HOSVD的图像处理技术

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摘要

In the framework of the paper an improved method for image resolution enhancement is introduced. The enhancement is performed through another representation domain, where the image function is expressed with the help ofpolylinear functions on higher order singular value decomposition (HOSVD) basis. The paper gives a detailed description on how to determine the polylinear functions corresponding to an image and how to process them in order to obtain a higher resolution image. Furthermore, the proposed approach and the Fourier-based approach will be compared from the point of view of their effectiveness.
机译:在纸张的框架中,引入了一种改进的图像分辨率增强方法。通过另一表示域进行增强,其中图像功能是在高阶奇异值分解(HOSVD)上的帮助下的帮助下的帮助。本文给出了关于如何确定对应于图像的波动函数以及如何处理它们以获得更高分辨率图像的详细描述。此外,将从其有效性的观点来看,将拟议的方法和基于傅立叶的方法进行比较。

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