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	Image superresolution using fractal coding
	Chen, Yuanxu ; Luo, Yupin ; Hu, Dongcheng
	2010-05-06 ; 2010-05-06
关键词	image superresolution fractal image coding fractals image restoration image magnification blind superresolution RECONSTRUCTION CONVOLUTION FRAMEWORK LIMITS Optics
中文摘要	We address the problem of image superresolution and present a novel approach to single-frame superresolution using fractal image coding. The proposed approach takes great advantage of the properties of fractals-resolution independence, similarity preservation, and nonlinear operation-which are suited for image superresolution, specifically for image restoration and magnification. The idea of our work is to estimate the fractal code of the original image from its degraded (blurred and noised) observation and decode it at a higher resolution, and all the strategies are performed in the fractal image coding framework. To achieve this, we employ an adaptive fractal coding scheme in the frequency domain, and further, we introduce an overlapping partition scheme to remove the blocky artifacts and improve the reconstruction quality. Experiments on simulated and real images show that the resulting fractal-based superresolution method yields superior performance to conventional single-frame superresolution methods. (C) 2008 Society of Photo-Optical Instrumentation Engineers.
语种	英语 ; 英语
出版者	SPIE-SOC PHOTOPTICAL INSTRUMENTATION ENGINEERS ; BELLINGHAM ; 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9306]
专题	清华大学
推荐引用方式 GB/T 7714	Chen, Yuanxu,Luo, Yupin,Hu, Dongcheng. Image superresolution using fractal coding[J],2010, 2010.
APA	Chen, Yuanxu,Luo, Yupin,&Hu, Dongcheng.(2010).Image superresolution using fractal coding..
MLA	Chen, Yuanxu,et al."Image superresolution using fractal coding".(2010).

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