@inproceedings{e6a511a237004c62be993ceac4932912,
title = "A blocked statistics method based on directional derivative",
abstract = "The basic idea of identifying the motion blurred direction using the directional derivative is that the original image be an isotropic first-order Markov random process. However, the real effect of this method is not always good. There are many reasons, of which the main is that a lot of pictures do not meet the physical premises. The shapes of objects and texture of pictures would be vulnerably influenced for identifying. In this paper, according to the image characteristics of the local variance, we extract multiple blocks and identify the motion directions of the blocks to identify the motion blurred direction. Experimental results show that our method not only improve the identification accuracy, but also reduce the amount of computation.",
keywords = "Blocked statistics method, Directional derivative, Markov process, Motion blur, Weighted average method",
author = "Junli LI and Chengxi CHU and Gang LI and Yang LOU",
year = "2012",
doi = "10.1007/978-3-642-33469-6_13",
language = "English",
isbn = "9783642334689",
volume = "7529",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin",
pages = "90--97",
editor = "WANG, {Fu Lee} and LEI, {Jingsheng } and Zhiguo GONG and LUO, {Xiangfeng }",
booktitle = "Web Information Systems and Mining - International Conference, WISM 2012, Proceedings",
address = "Germany",
note = "2012 International Conference on Web Information Systems and Mining, WISM 2012 ; Conference date: 26-10-2012 Through 28-10-2012",
}