Camera sensors can only capture a limited range of luminance simultaneously, and in order
to create high dynamic range (HDR) images a set of different exposures are typically …

Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR)
input image is challenging due to missing details in under-/over-exposed regions caused by …

High-quality HDRIs (High Dynamic Range Images), typically HDR panoramas, are one of
the most popular ways to create photorealistic lighting and 360-degree reflections of 3D …

High dynamic range (HDR) imaging provides the capability of handling real world lighting as
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …

Abstract High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring
HDR images with a single shot remains a challenging problem. Whereas modern deep …

Most consumer-grade digital cameras can only capture a limited range of luminance in real-
world scenes due to sensor constraints. Besides, noise and quantization errors are often …

High dynamic range (HDR) imaging comprises a range of techniques for capturing, storing,
editing, transmitting, and displaying images and video with an extended range of values …

Limited by the trade-off between frame rate and exposure time when capturing moving
scenes with conventional cameras, frame based HDR video reconstruction suffers from …

This book explores the methods needed for creating and manipulating HDR content. HDR is
a step change from traditional imaging; more closely matching what we see with our eyes. In …

Digital cameras can only capture a limited range of real-world scenes' luminance, producing
images with saturated pixels. Existing single image high dynamic range (HDR) …