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 …

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 …

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 …

High dynamic range (HDR) images can record much more intensity levels than usual ones.
Existing methods mainly reconstruct HDR images from the 8-bit low dynamic range (LDR) …

High dynamic range (HDR) images can convey much richer contrasts, like those found in the
real world, than can conventional low dynamic range (LDR) images. HDR techniques have …

Real world contains a wide range of intensities that cannot be captured with traditional
imaging devices. Moreover, even if these images are captured with special procedures …

Recent modern displays are now able to render high dynamic range (HDR), high resolution
(HR) videos of up to 8K UHD (Ultra High Definition). Consequently, UHD HDR broadcasting …

Abstract Reconstructing a High Dynamic Range (HDR) image from several Low Dynamic
Range (LDR) images with different exposures is a challenging task, especially in the …

Outdoor lighting has extremely high dynamic range. This makes the process of capturing
outdoor environment maps notoriously challenging since special equipment must be used …

Existing single image high dynamic range (HDR) reconstruction attempt to expand the range
of luminance. They are not effective to generate plausible textures and colors in the …