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.