Now showing items 1-2 of 2
Leveraging Physics-based Models in Data-driven Computational Imaging
Deep Learning (DL) has revolutionized various applications in computational imaging and computer vision. However, existing DL frameworks are mostly data-driven, which largely disregards decades of prior work that focused on signal processing theory and physics-based models. As a result, many DL based image reconstruction methods generate eye-pleasing ...
Efficient Machine Vision Using Computational Cameras
Computational cameras, powered by novel optics and advanced signal processing algorithms, has emerged as a powerful imaging tool that brings orders of magni- tude performance improvements over current camera technology. However, existing computer vision pipelines are still built around conventional digital cameras. In this thesis, we propose a novel ...