Mobile computational photography: A tour
The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
Handheld multi-frame super-resolution
Compared to DSLR cameras, smartphone cameras have smaller sensors, which limits their
spatial resolution; smaller apertures, which limits their light gathering ability; and smaller …
spatial resolution; smaller apertures, which limits their light gathering ability; and smaller …
Content authentication for neural imaging pipelines: End-to-end optimization of photo provenance in complex distribution channels
Forensic analysis of digital photo provenance relies on intrinsic traces left in the photograph
at the time of its acquisition. Such analysis becomes unreliable after heavy post-processing …
at the time of its acquisition. Such analysis becomes unreliable after heavy post-processing …
Neural imaging pipelines-the scourge or hope of forensics?
Forensic analysis of digital photographs relies on intrinsic statistical traces introduced at the
time of their acquisition or subsequent editing. Such traces are often removed by post …
time of their acquisition or subsequent editing. Such traces are often removed by post …
Machine and Deep‐Learning Techniques for Image Super‐Resolution
A Kumar, S Srivastava… - … Learning Algorithms for …, 2022 - Wiley Online Library
Super‐resolution is a class of techniques for upscaling images or video. Owing to the
significant advancements in the field of machine learning and deep learning in the last …
significant advancements in the field of machine learning and deep learning in the last …