DocumentCode
3273334
Title
A improved rapid restoration algorithm of motion blurred coal dust image
Author
Sitong, Sun ; Wei, Zhang
Author_Institution
Sch. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear
2011
fDate
15-17 April 2011
Firstpage
3841
Lastpage
3844
Abstract
In order to rapid restoration of motion blurred coal dust image, proposes a improved motion blur parameter estimation algorithm. Motion angle is estimated based on threshold filtering of image spectrum then Radon transform. Motion length is estimated based on median filtering, block averaging and autocorrelation function method. Restoration image uses Z transform. Experiment compare results show that proposed method can restorate motion blurred coal dust image accurate and low cost time.
Keywords
Radon transforms; image restoration; image segmentation; median filters; Radon transform; Z transform; image restoration; image spectrum; median filtering; motion angle; motion blur parameter estimation algorithm; motion blurred coal dust image; rapid restoration algorithm improvement; threshold filtering; Coal; Correlation; Filtering; Image restoration; PSNR; Photonics; Transforms; Coal dust image; Image restoration; Motion blur; Radon transform; Z transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777259
Filename
5777259
Link To Document