Title :
An improved criminisi algorithm-based image repair algorithm
Author :
Aiju Li;Yujie Li;Wenliang Niu;Tingmei Wang
Author_Institution :
Beijing Union University, Beijing, China
Abstract :
To obtain ideal repair effects, an improved Criminisi algorithm-based image repair algorithm was proposed specific to the shortcomings of Criminisi algorithm which costs much repairing time, its feasibility and superiority were tested. First, priority calculation was improved to find optimal to-be-repaired block; then optimal matching block search strategy was improved to find optimal matching block; finally, new confidence update modes were adopted to obtain more ideal repair effects and the simulation experiment was made to test the algorithm performance. Results indicated that compared with Criminisi algorithm not only could obtain ideal image repair effects but also could sharply reduce repair time and improve image repair efficiency.
Keywords :
"Maintenance engineering","Algorithm design and analysis","Optimal matching","Signal processing algorithms","Search problems","Visual effects"
Conference_Titel :
Image and Signal Processing (CISP), 2015 8th International Congress on
DOI :
10.1109/CISP.2015.7407887