A new image zooming via the split bregman method
Dong‐Huan Jiang, Yongquan Liang, XU Guang-bao · 2013
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.