.png){kind=icon}
返回
A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2013.2248711.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this letter, a no-reference perceptual sharpness metric based on a statistical analysis of local edge gradients is presented. The method takes properties of the human visual system into account. Based on perceptual properties, a relationship between the extracted statistical features and the metric score is established to form a Perceptual Sharpness Index (PSI). A comparison with state-of-the-art metrics shows that the proposed method correlates highly with human perception and exhibits low computational complexity. In contrast to existing metrics, the PSI performs well for a wide range of blurriness and shows a high degree of invariance for different image contents.
Keyword:
Image blur
image quality assessment
image sharpness
no-reference
perceptual
sharpness metric
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)
.png){kind=icon}
PREAI
分享收藏An encapsulated dopamine-releasing polymer alleviates experimental parkinsonism in rats封装的多巴胺释放聚合物可缓解大鼠实验性帕金森病
PREAI
分享收藏
查看更多内容