Real-world video deblurring in real time still remains a challenging task due to the
complexity of spatially and temporally varying blur itself and the requirement of low …

The traditional frame-based cameras that rely on exposure windows for imaging experience
motion blur in high-speed scenarios. Frame-based deblurring methods lack reliable motion …

Snapshot Mosaic Hyperspectral Cameras (SMHCs) are popular hyperspectral imaging
devices for acquiring both color and motion details of scenes. However, the narrow-band …

Unprocessed RAW video has shown distinct advantages over sRGB video in video editing
and computer vision tasks. However capturing RAW video is challenging due to limitations …

Many learning‐based approaches to image deblurring have received increasing attention in
recent years. However, the models trained on existing synthetic datasets do not generalize …

The development of 3D human avatars from multi-view videos represents a significant yet
challenging task in the field. Recent advancements, including 3D Gaussian Splattings …

Existing deep image deblurring models achieve favorable results with growing model
complexity. However, these models cannot be applied to those low-power devices with …

This thesis investigates the automation of video analysis for open-source intelligence
(OSINT) applications by implementing a pipeline designed to detect, track, and enhance …