DocumentCode
142236
Title
Image inpainting algorithm based on exemplar structure characteristics
Author
Min Qi ; Zi-Yan Zhao ; Yue-Lei Xu ; Ke Li
Author_Institution
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Volume
3
fYear
2014
fDate
26-28 April 2014
Firstpage
1932
Lastpage
1935
Abstract
The traditional image restoration algorithm based on the sample block only considers simple structure information and will produce cumulative errors and other issues in the process of repair, which affected the overall effect of image restoration in large part, to address this problem, an improved algorithm based on Criminisi is proposed, which combines the improved priority function and new confidence item updating method. Simulation results show that the algorithm can effectively overcome the shortcomings of excessive filling in the texture-rich area and error derivative that Criminisi algorithm often appears.
Keywords
image restoration; Criminisi algorithm; cumulative errors; exemplar structure characteristics; image inpainting algorithm; image restoration algorithm; priority function; texture-rich area; Algorithm design and analysis; Educational institutions; Equations; Filling; Image restoration; Maintenance engineering; Mathematical model; confidence item; gradient; image restoration; priority;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6946260
Filename
6946260
Link To Document