Video Super-resolution
Reconstruction based on Loca-adaptation Interpolation Wavelet Transform
IBP Algorithm
Yuanyuan Wu,
Xiaohai
He, Yanyue Sun, Weilong Chen
College
of Electronics and Information Engineering, Sichuan University,
Chengdu, China
Abstract
For the video super-resolution reconstruction based on iterative
back projection (IBP) algorithm, an improved method by raising the
initial guess for improving reconstruction quality is proposed. Firstly
a better initial guess is performed with wavelet-local adaptation
interpolation. Then Combined with segmentation reconstruction model, a
super-resolution video is reconstructed from a low-resolution video
associated with the promotion of spatial resolution. At last the
experimental results show that the reconstructed super-resolution video
has better visual effect.
Publication
Wu, Yuanyuan, Xiaohai He, Yanyue Sun, Weilong Chen. "Video super-resolution reconstruction based on local-adaptation interpolation wavelet transform IBP algorithm." Journal of Sichuan University, 48, no. 2 (2011): 349-355. [PDF] (In Chinese)
Results
IBP with initial image reconstructed by
nearest interpolation method. |
IBP with initial image reconstructed by our wavelet local-adaptation interpolation method. | PSNR curves with different initial image and different number of frames. From top-to-down, the four curves are our improved IBP algorithm, IBP algorithm with bicubic interpolation, IBP algorithm with bilinear interpolation, IBP algorithm with nearest interpolation. |
[1] SUN Yan-Yue, HE
Xiao-Hai, CHEN Wei-Long. Image Super-resolution
Reconstruction of Wavelet Local-adaptation Interpolation. Computer
Engineering, 2010, 36(13): 183-185.
Last updated by Wu, Y. on January 13, 2014