Results 31 to 40 of about 7,354 (234)

Transfer Deep Learning for Reconfigurable Snapshot HDR Imaging Using Coded Masks

, 2021
High dynamic range (HDR) image acquisition from a single image capture, also known as snapshot HDR imaging, is challenging because the bit depths of camera sensors are far from sufficient to cover the full dynamic range of the scene.
Thabet, Ali, Alghamdi, Masheal, Fu, Qiang, Heidrich, Wolfgang   +3 more
core   +1 more source

High Dynamic Range (HDR) Display Perception [PDF]

, 2021
Displays have undergone a huge development in the last several decades. From cathode-ray tube (CRT), liquid crystal display (LCD), to organic light-emitting diode (OLED), even Q-OLED, the new configurations of the display bring more and more functions ...
Jiang, Fu
core  

Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation

IEEE Access, 2020
In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the brightest is much lower than the range that can be perceived by the human eye.
Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang   +3 more
doaj   +1 more source

Deep HDR Hallucination for Inverse Tone Mapping

Sensors, 2021
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas must be expanded and any missing information due to over/under-exposure ...
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista   +2 more
doaj   +1 more source

High dynamic range (HDR) video image processing for digital glass [PDF]

Proceedings of the 20th ACM international conference on Multimedia, 2012
We present highly parallelizable and computationally efficient High Dynamic Range (HDR) image compositing, reconstruction, and spatotonal mapping algorithms for processing HDR video. We implemented our algorithms in the EyeTap Digital Glass electric seeing aid, for use in everyday life. We also tested the algorithms in extreme dynamic range situations,
Raymond Chun Hing Lo, Steve Mann 0001, Jason Huang, Valmiki Rampersad, Tao Ai   +4 more
openaire   +1 more source

Reconstructing High Dynamic Range Image from a Single Low Dynamic Range Image Using Histogram Learning

Applied Sciences
High dynamic range imaging is an important field in computer vision. Compared with general low dynamic range (LDR) images, high dynamic range (HDR) images represent a larger luminance range, making the images closer to the real scene.
Huei-Yung Lin, Yi-Rung Lin, Wen-Chieh Lin, Chin-Chen Chang   +3 more
doaj   +1 more source

RLUNet: Overexposure-Content-Recovery-Based Single HDR Image Reconstruction with the Imaging Pipeline Principle

Applied Sciences
With the popularity of High Dynamic Range (HDR) display technology, consumer demand for HDR images is increasing. Since HDR cameras are expensive, reconstructing High Dynamic Range (HDR) images from traditional Low Dynamic Range (LDR) images is crucial ...
Yiru Zheng, Wei Wang, Xiao Wang, Xin Yuan   +3 more
doaj   +1 more source

High dynamic range imaging for archaeological recording

, 2010
This paper notes the adoption of digital photography as a primary recording means within archaeology, and reviews some issues and problems that this presents.
David Wheatley, Wheatley, David
core   +1 more source

Characterization for high dynamic range imaging

, 2008
In this paper we present a new practical camera characterization technique to improve color accuracy in high dynamic range (HDR) imaging. Camera characterization refers to the process of mapping device-dependent signals, such as digital camera RAW images,
Kim, M.H., Min H. Kim, Kautz, Jan, Kautz, J., Kim, Min Hyuk, Jan Kautz   +5 more
core   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source