DocumentCode :
2712554
Title :
Image Inpainting Algorithm Based on Partial Differential Equation
Author :
Xu, Zhongyu ; Lian, Xiaoli ; Feng, Lili
Author_Institution :
Sch. of Comput. Sci. &Eng., Changchun Univ. of Technol., Changchun
Volume :
1
fYear :
2008
fDate :
3-4 Aug. 2008
Firstpage :
120
Lastpage :
124
Abstract :
Image inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. Now many inpainting algorithm performs well, but they consume much time. In this paper we present a new algorithm based on partial differential equation (PDE) method. This model we called quick curvature-driven diffusions(QCDD) which can get good effect with much less computation time.QCDD model is developed by the curvature-driven diffusions(CDD) model, both of the two models is supported by "connectivity and holistic principle," our experiment shows that the model is feasible.
Keywords :
edge detection; image reconstruction; partial differential equations; connectivity principle; curvature-driven diffusions; holistic principle; image inpainting algorithm; partial differential equation; quick curvature-driven diffusions; Communication system control; Computer vision; Digital images; Image processing; Image restoration; Information geometry; Mathematical model; Partial differential equations; TV; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
Type :
conf
DOI :
10.1109/CCCM.2008.89
Filename :
4609482
Link To Document :
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