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	Detecting spurious area of digital image based on noise correlation
	Cui Xia-rong ; Su Guang-da
	2010-10-12 ; 2010-10-12
关键词	Theoretical or Mathematical/ correlation methods feature extraction image denoising spatial filters/ spurious area detection digital image noise correlation residual noise wavelet filter digital camera reference noise pattern Neyman-Pearson approach/ A4230V Image processing and restoration A4230S Pattern recognition B6135 Optical, image and video signal processing
中文摘要	A new method was proposed to detect spurious area of digital image. The residual noise from an image was extracted by wavelet filter,and a reference pattern of noise for a digital camera was obtained by averaging the residual noise from multiple images. A proper detector was chosen to move synchronously at both the residual noise from suspicious image and the reference pattern of noise of camera, and the correlation between the residual noise and the reference pattern of noise was computed synchronously. The spurious area of the suspicious image could be determined by comparing the correlation with a predetermined threshold. The Neyman-Pearson approach was used to derive the threshold on the assumption that the false acceptance rate is 10/sup -3/, and detects suspicious image after using the method of floating threshold and subjoining three approaches of shaping, the result shows that the correct detect rate is 87% approximately using this method.
语种	中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82352]
专题	清华大学
推荐引用方式 GB/T 7714	Cui Xia-rong,Su Guang-da. Detecting spurious area of digital image based on noise correlation[J],2010, 2010.
APA	Cui Xia-rong,&Su Guang-da.(2010).Detecting spurious area of digital image based on noise correlation..
MLA	Cui Xia-rong,et al."Detecting spurious area of digital image based on noise correlation".(2010).

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