DocumentCode :
2180268
Title :
An Enhancement to Closed-Form Method for Natural Image Matting
Author :
Zhu, Jun ; Zhang, Dengsheng ; Lu, Guojun
Author_Institution :
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
fYear :
2010
fDate :
1-3 Dec. 2010
Firstpage :
629
Lastpage :
634
Abstract :
Natural image matting is a task to estimate fractional opacity of foreground layer from an image. Many matting methods have been proposed, and most of them are trimap-based. Among these methods, closed-form matting offers both trimap-based and scribble-based matting. However, the closed-form method causes significant errors at background-hole regions due to over-smoothing. In this paper, we identify the source of the problem and propose our solution to enhance the closed-form method. Experiments show that our enhanced method can improve the accuracy for trimap-based images and obtain similar result to the closed-form method for scribble-based matting.
Keywords :
image enhancement; image matching; opacity; closed form matting Method; fractional opacity estimation; image enhancement; image foreground layer; natural image matting; scribble based matting; trimap based matting; Analytical models; Bismuth; Color; Cost function; Image color analysis; Mathematical model; Pixel; Image matting; closed-form; gradient constraint; over-smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-8816-2
Electronic_ISBN :
978-0-7695-4271-3
Type :
conf
DOI :
10.1109/DICTA.2010.110
Filename :
5692632
Link To Document :
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