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
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;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6946260