DocumentCode
682770
Title
A new image zooming via the split bregman method
Author
Donghuan Jiang ; Yongquan Liang ; Guangbao Xu
Author_Institution
Coll. of Inf. & Sci. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Volume
01
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
320
Lastpage
325
Abstract
To improve image resolution, a new model for image zooming with the split bregman method is presented in this paper. The zoomed image is found by minimizing the variational functional which use the Besov norm and TV norm to measure the regularity of the image. Subsequently, the split bregman algorithm for image zooming model is given and images are reconstructed with high quality. The new model with the split bregman algorithm has the advantage of high velocity. Experimental results have verified the validity of our new model.
Keywords
image reconstruction; image resolution; interpolation; Besov norm; TV norm; image interpolation; image reconstruction; image resolution; image zooming model; split bregman method; variational functional; Gold; Image edge detection; Interpolation; Iterative methods; Minimization; PSNR; TV; besov norm; image zooming; split bregman; total variation; variational function;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2763-0
Type
conf
DOI
10.1109/CISP.2013.6744011
Filename
6744011
Link To Document