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	Evaluation of no-reference models to assess image sharpness
	Guangzhe Dai; Zhaoyang Wang; Yaoqing Li; Qian Chen; Shaode Yu; Yaoqin Xie
	2017
会议日期	2017
会议地点	澳门
英文摘要	In the past decades, massive attention has been paid toward no-reference or blind image sharpness assessment (BISA) and many algorithms have achieved good performance. This paper provides an evaluation of 12 state-of-the-art BISA methods based on Gaussian blurring images collected from four simulation databases (LIVE, CSIQ, TID2008 and TID2013). The prediction performance is estimated with two metrics after fouror five-parameter non-linear score fitting. Experimental results indicate that the algorithm RISE achieves the best performance. Additionally, the effect of different non-linear scoring fitting methods on the performance evaluation is insignificant. In general, RISE is a visible and significant milestone for BISA algorithm development at present and the future work might be toward novel and real-life applications
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12207]
专题	深圳先进技术研究院_医工所
作者单位	2017
推荐引用方式 GB/T 7714	Guangzhe Dai,Zhaoyang Wang,Yaoqing Li,et al. Evaluation of no-reference models to assess image sharpness[C]. 见:. 澳门. 2017.

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