@inproceedings{350ea613b882415b8cb4b206db248e2e,
title = "Efficient perceptual-based spatially varying out-of-focus blur detection",
abstract = "This paper proposes a blur detection algorithm that is capable of detecting and quantifying the level of spatially-varying blur by integrating directional edge spread calculation, Just Noticeable Blur (JNB) and local probability summation. The proposed method generates a blur map indicating the relative amount of perceived local blurriness. We compare the proposed method with six other state-of-the-art blur detection methods. Experimental results show that the proposed method performs the best both visually and quantitatively.",
keywords = "Blur, Blur detection, Deblurring, HVS, Out-of-focus, Perception",
author = "Tong Zhu and Lina Karam",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7532844",
language = "English (US)",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2673--2677",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
}