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Journal of Electrical and Computer Engineering
Volume 2016, Article ID 2374926, 12 pages
Research Article

Restoration of Partial Blurred Image Based on Blur Detection and Classification

School of Automation Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, China

Received 15 September 2015; Accepted 6 December 2015

Academic Editor: William Sandham

Copyright © 2016 Dong Yang and Shiyin Qin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A new restoration algorithm for partial blurred image which is based on blur detection and classification is proposed in this paper. Firstly, a new blur detection algorithm is proposed to detect the blurred regions in the partial blurred image. Then, a new blur classification algorithm is proposed to classify the blurred regions. Once the blur class of the blurred regions is confirmed, the structure of the blur kernels of the blurred regions is confirmed. Then, the blur kernel estimation methods are adopted to estimate the blur kernels. In the end, the blurred regions are restored using nonblind image deblurring algorithm and replace the blurred regions in the partial blurred image with the restored regions. The simulated experiment shows that the proposed algorithm performs well.