High Dynamic Range Video Reconstruction

High dynamic range (HDR) video reconstruction aims to create high-quality videos with a wider range of brightness levels than standard cameras can capture, typically from multiple low dynamic range (LDR) frames or raw sensor data. Current research focuses on improving the accuracy and efficiency of reconstruction algorithms, employing techniques like diffusion models, transformer networks, and novel alignment strategies to mitigate artifacts such as ghosting and motion blur, often incorporating both spatial and temporal information. These advancements are significant for various applications, including virtual and augmented reality, filmmaking, and scientific imaging, by enabling the capture and display of more realistic and detailed visual information.