A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities

	A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities
	Maiseli B.; Wu C.; Mei J. Y.; Liu Q.; Gao H. J.
	2014
发表期刊	Journal of the Franklin Institute-Engineering and Applied Mathematics
ISSN	ISBN/0016-0032
卷号	351 期号:1 页码:513-527
摘要	In this paper, we have proposed a robust super-resolution high-frequency component estimation (RS-HFCE) method, which can efficiently estimate lost high-frequency components and cancel aliasing effects of low-frequency components of an image. The fundamental principle of operation of the proposed method is based on the idea that, when a baseband band-limited image signal of known bandwidth in a high-resolution lattice is iteratively low-pass filtered in the frequency domain, the unknown values in the lattice can be interpolated, thus correcting the aliasing for the low-frequency components. If this process is clone along with adjusting the amplitudes of the known pixel values, some high-frequency components of an image are automatically extrapolated. In order to provide simultaneous edge preservation and noise removal capabilities of the super-resolved images, an improved version of an adaptive Perona-Malik (PM) model is incorporated into the process. One of the characteristics of the proposed method is its high level of tolerance capabilities to reconstruction errors and noise caused by an increase in the reconstruction scaling factors. High quality images of higher resolution are still appreciably reconstructed when greater magnification factors are used. From a couple of experiments on real images, and using both subjective and objective image quality assessment measures, it is demonstrated that the proposed method outperforms most of other classical methods. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/43699
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Maiseli B.,Wu C.,Mei J. Y.,et al. A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities[J]. Journal of the Franklin Institute-Engineering and Applied Mathematics,2014,351(1):513-527.
APA	Maiseli B.,Wu C.,Mei J. Y.,Liu Q.,&Gao H. J..(2014).A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities.Journal of the Franklin Institute-Engineering and Applied Mathematics,351(1),513-527.
MLA	Maiseli B.,et al."A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities".Journal of the Franklin Institute-Engineering and Applied Mathematics 351.1(2014):513-527.

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