A Super-Resolution Algorithm Based on Adaptive Weighted Total Variation
Jiang Xiao · Infrared Technology · 2014
In bilateral total variation regularization method(BTV), which was proposed by Farsiu, the scale weight is a constant, so the image reconstruction effect is not ideal for texture and edge region. In order to solve this problem, an adaptive weighted regularization function and regularization parameter algorithm is proposed in this paper. In the proposed algorithm, the local structure information of image is used to control the shape, bandwidth of the weighted function and the regularization parameter. The experimental results show that the proposed algorithm, compared with BTV, can retain the image details better and improve the image contrast.