Abstract: Super-resolution reconstruction can be considered as a linear system problem which is ill-posed. Aiming at this problem, this paper discusses the construction of the data fidelity term and regularization term in the respect of regularization solution. By comparing the existing data fusion methods, it proposes a method which takes advantage of both the information between pixels in the same frame and neighboring frames to pick out singular points. In order to enhance the performance of Bilateral Total Variation(BTV) filtering on preserving sharp edges, it incorporates a novel implementation which gives the edges heavier variation weighting value and thus achieve better visional effect. Experimental results confirm the superiority of proposed method in both robustness and image quality.
Bilateral Total Variation(BTV),