DocumentCode :
1978261
Title :
Improving Self-Quotient Image Method of NPR
Author :
Wang, Huiqin ; Chen, Jingchao
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Volume :
6
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
213
Lastpage :
216
Abstract :
Self-quotient image (SQI) method was recently proposed, which is applicable to non-photorealistic rendering (NPR). In this paper, we analyse the deficiencies of the original SQI method in generating sketching style from various images and make some improvements on it. The basic idea is to enhance features and weaken noise by enlarging the differences of feature pixels¿ gray values between anisotropic filtrated and isotropic filtrated images and reducing the differences in other areas. The experiment results show that using the improved SQI method, we can obtain sketching style with stronger features and less noises from original photos regardless of their smoothness or noise.
Keywords :
rendering (computer graphics); anisotropic-isotropic filtrated images; feature enhancement; feature pixel gray values; nonphotorealistic rendering; self-quotient image method; Anisotropic magnetoresistance; Computer science; Digital images; Educational institutions; Filters; Image analysis; Information science; Pixel; Rendering (computer graphics); Software engineering; anisotropic filter; isotropic filter; non-photorealistic rendering; self-quotient image; sketching style;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.224
Filename :
4723234
Link To Document :
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