Evaluation of no-reference models to assess image sharpness
文献类型：会议论文
| 作者 | Guangzhe Dai; Zhaoyang Wang; Yaoqing Li; Qian Chen; Shaode Yu; Yaoqin Xie |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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