Multi-frame Image super-resolution based on knife-edges
Rongjun Qin, Jianya Gong, Chong Fan · 2010
In this paper, a new method of super-resolution is proposed. Instead of the traditional regularization term of the blur function such as TV regularization and Tichonov, new regularization of the blur function is constructed by using the knife-edge in the low resolution images. The proposed method can reduce the overestimation of the traditional methods. Other two previous super-resolution methods have been taken into the comparison to the proposed method, and results of both synthetic data and real data have shown a much better performance(both in PSNR(peak signal-to-noise ratio) and visional effects) of the proposed method than the other methods.