Image super-resolution algorithm based on tensor voting
Huang Dong-jun · Qiye jishu kaifa · 2010
Tensor voting algorithm has a good effect in extracting subjective contour of image.This paper proposed a image superresolution algorithm based on tensor voting.First of all,using two-dimensional tensor matrix storing each pixel's location feature information of low-resolution image,feature information is strengthened by sparse tensor voting,and then a two-dimensional tensor matrix corresponding to high-resolution image is generated by dense tensor voting,the tensor matrix contains edge information with strong visual characteristics.Finally,using the edge information to guide high-resolution image reconstruction.The experimental results show that high-resolution image obtained by our method with high SNR and good visual effect.