Noise Robust Single Image Super-Resolution Using a Multiscale Image Pyramid

Single image super-resolution (SR) generates a high-resolution (HR) image by estimating the mapping function between image patches of different resolutions. However, this kind of SR method cannot be directly applied to noisy images, since noise will be reinforced in the process of super-resolution. To this end, this paper presents a simultaneous super-resolution and denoising method by exploiting the noise decreasing property contained in the multiscale image pyramid. Experimental results confirm that our method is able to outperform other state-of-the-art super-resolution methods when super-resolving noisy images across differing noise levels.