Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
We propose the Super-Resolution CliqueNet (SRCliqueNet) to reconstruct the high resolution (HR) image with better textural details in the wavelet domain.
Penrose Pixels for Super-Resolution
We present a novel approach to reconstruction-based super-resolution that uses aperiodic pixel tilings, such as a Penrose tiling or a biological retina, for improved performance.
On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms
This paper provides explicit limits for a major class of super-resolution algorithms, called reconstruction-based algorithms, under both real and synthetic conditions.