Image Super-resolution Using PDE Regularization
HU Dongcheng · Jisuanji gongcheng · 2007
From the typical anisotropic diffusion equations,the PDEs for image super-resolution are deduced and,then a robust regularization-type reconstruction algorithm is devised.The proposed approach can suppress the system noise and preserve more details of the estimated HR image by orientation-selective regularization.The experimental results show that the PDE-based approach makes a promising progress in image super-resolution.It outperforms the previous methods in both numerical and perceived visual quality and is robust to noisy images.