SNR and DFD Based Blind Image Super-Resolution
Hua Yan, Ju Liu, Jiande Sun, Qingming Huang · 2006
In this paper, a kind of blind image super-resolution algorithm is proposed, in which error-parameter-analysis (EPA) is combined with the searching method to identify parameterized blur function and a regularized super-resolution (SR) image restoration algorithm simultaneously considering signal-to-noise ratio (SNR) and displaced frame differential (DFD) is proposed to restore high-resolution (HR) image. The adoption of the searching method shrinks identification period. Simulation results show that the proposed blind SR algorithm can obtain approximate blur function and restore well-visual HR image