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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6744011