Burst Super Resolution

Burst super-resolution (BSR) aims to reconstruct high-resolution images from multiple low-resolution frames captured in quick succession, leveraging the complementary information across the burst to overcome limitations of single-image super-resolution. Current research focuses on improving alignment techniques, often employing optical flow or deformable convolutions, and developing sophisticated fusion strategies using architectures like transformers and recurrent networks to effectively combine information from multiple frames while mitigating noise. These advancements are significant for enhancing image quality in various applications, particularly in mobile photography and remote sensing, where high-resolution images are crucial but sensor limitations may restrict capture capabilities.