DocumentCode
3025310
Title
High order Gaussian curvature flow for image smoothing
Author
Lu, Bibo ; Wang, Hui ; Lin, Zhonghua
Author_Institution
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
fYear
2011
fDate
26-28 July 2011
Firstpage
5888
Lastpage
5891
Abstract
Mean curvature and Gaussian curvature are two important measurements in the study of surface and image processing. Mean curvature has been intensively used in the PDE method for image processing. We propose a fourth order flow for image smoothing based on Gaussian curvature in this paper. The new model can preserve more details while suppress noise. Experimental results are given to demonstrate the performance of the proposed method.
Keywords
Gaussian processes; image processing; partial differential equations; Gaussian curvature; PDE; image processing; image smoothing; partial differential equation; Image edge detection; Noise; Noise reduction; Smoothing methods; Surface cleaning; Gaussian curvature; PDE; fourth order; image smoothing;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001827
Filename
6001827
Link To Document