Multi-Frame Super-Resolution

Robust Multi-Frame Super-Resolution Based on Spatially Weighted Half-Quadratic Estimation and Adaptive BTV Regularization

Multi-frame image super-resolution focuses on reconstructing a high-resolution image from a set of low-resolution images with high similarity. Combining image prior knowledge with fidelity model, the Bayesian-based methods have been considered as an …

Robust multi-frame super-resolution with adaptive norm choice and difference curvature based BTV regularization

Multi-frame super-resolution focuses on reconstructing a high-resolution image from a set of low-resolution images with high similarity. The minimization function derived from maximum a posteriori probability (MAP) is composed of a fidelity term and …