A Robust Adaptive Super-Resolution Method

To get robust results under varied noise, an adaptive super-resolution (SR) method is proposed. The method runs in frame of regularization, and there will be an iteration process, the signal to noise ratio(SNR) is estimated by the local varicance of image in every iteration step, and be used as the regularization parameter to control the iteration, as the SNR is a reflection of image noise, and varied with iteration, the iteration is adaptive and converges to a optimal solution. The results show that the proposed method is effective, and has robust results under varied noise.