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	Image quality assessment based on frequency domain of structural similarities
	Li Hang ; Lu Yang ; Cui Huijuan ; Tang Kun
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ discrete cosine transforms frequency-domain analysis image processing mean square error methods/ SSIM method structural information-based image quality assessment peak signal-to-noise ratio MSE method mean square error method blurred image FSSIM model frequency domain-based structural similarity method weighted frequency component discrete cosine transform HVS human visual system PSNR method/ B6135 Optical, image and video signal processing B0290F Interpolation and function approximation (numerical analysis) B0290X Integral transforms in numerical analysis C5260B Computer vision and image processing techniques C4130 Interpolation and function approximation (numerical analysis) C4188 Integral transforms in numerical analysis
中文摘要	Although the structural information-based image quality assessment SSIM (structural similarity) is simple and has been proved to be better than the PSNR (peak signal to noise ratio) or the MSE (mean square error) methods, there are still some difficulties in assessing badly blurred images. This paper presents a frequency domain-based structural similarity (FSSIM) method for image quality assessment. The method takes frequency domain information as the main structural information for the image and gets a frequency domain function of the image from weighted frequency components after a discrete cosine transform based on the human visual system (HVS) with different sensitivities in the frequency domain. The structural similarity is calculated using the frequency domain, the brightness, and the contrast functions. Experimental results show that this FSSIM model is more consistent with the human visual system and can assess the image quality more precisely than the SSIM and PSNR methods.
语种	中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82751]
专题	清华大学
推荐引用方式 GB/T 7714	Li Hang,Lu Yang,Cui Huijuan,et al. Image quality assessment based on frequency domain of structural similarities[J],2010, 2010.
APA	Li Hang,Lu Yang,Cui Huijuan,&Tang Kun.(2010).Image quality assessment based on frequency domain of structural similarities..
MLA	Li Hang,et al."Image quality assessment based on frequency domain of structural similarities".(2010).

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