Results 91 to 100 of about 28,803 (185)
High Dynamic Range Imaging with Multiple Artifact Suppression and Multilevel Fusion
Due to the limitations of existing imaging equipment, it is difficult to obtain high dynamic range (HDR) images directly. High dynamic range imaging technology is designed to generate HDR images by processing low dynamic range (LDR) images. Most existing
LUO Juncheng +3 more
doaj +1 more source
High Dynamic Range Image Reconstruction from Saturated Images of Metallic Objects
This study considers a method for reconstructing a high dynamic range (HDR) original image from a single saturated low dynamic range (LDR) image of metallic objects.
Shoji Tominaga, Takahiko Horiuchi
doaj +1 more source
Parallel Implementation of a Real-Time High Dynamic Range Video System [PDF]
. This article describes the use of the parallel processing capabilities of a graphics chip to increase the processing speed of a high dynamic range (HDR) video system. The basis is an existing HDR video system that produces each frame from a sequence of
Effelsberg, Wolfgang +3 more
core +1 more source
Blur to Brilliance: Neuromorphic Data Guided Deblurring and HDR Novel View Synthesis
Event cameras are neuromorphic sensors that asynchronously capture intensity changes, making them highly effective for fast motion and challenging lighting conditions. While Neural Radiance Fields (NeRFs) have revolutionized 3D scene representation, they
Sally Khaidem +3 more
doaj +1 more source
HDR Image Quality Enhancement Based on Spatially Variant Retinal Response
There is a growing demand for being able to display high dynamic range (HDR) images on low dynamic range (LDR) devices. Tone mapping is a process for enhancing HDR image quality on an LDR device by converting the tonal values of the original image from ...
Horiuchi Takahiko, Tominaga Shoji
doaj
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination
In this paper we are extracting surface reflectance and natural environmental illumination from a reflectance map, i.e. from a single 2D image of a sphere of one material under one illumination. This is a notoriously difficult problem, yet key to various
Fritz, Mario +5 more
core
Overview of ghost correction for HDR video stream generation
International audienceMost digital cameras use low dynamic range image sensors, these LDR sensors can capture only a limited luminance dynamic range of the scene[1], to about two orders of magnitude (about 256 to 1024 levels).
Bouderbane, Mustapha +4 more
core +1 more source
HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
Radiance of real-world scenes typically spans a much wider dynamic range than what standard cameras can capture. While conventional HDR methods merge alternating-exposure frames, these approaches are inherently constrained to 2D pixel-level alignment, often leading to ghosting artifacts and temporal inconsistency in dynamic scenes.
Dong-Yeon, Shin +3 more
openaire +2 more sources
High dynamic range shortwave infrared imaging of mice with an InGaAs camera. [PDF]
Patel A +4 more
europepmc +1 more source

