research-article

High-dynamic-range video solution

Authors:

Christopher MoirAuthors Info & Claims

SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Art Gallery & Emerging Technologies: Adaptation

Page 71

https://doi.org/10.1145/1665137.1665190

Published: 16 December 2009 Publication History

Get Access

Abstract

The natural world presents our visual system with a wide, ever-changing range of colors and intensities. Existing video cameras are only capable of capturing a limited part of this wide range with sufficient resolution. High-dynamic-range (HDR) images can represent most of the real world's luminances, but until now capturing HDR images with a linear-response function has been limited to static scenes. This demonstration showcases a novel complete HDR video solution. The system includes a unique HDR video camera capable of capturing a full HDTV video stream consisting of 20 f-stops dynamic range at a resolution of 1920 x 1080 pixels at 30 frames per second; an encoding method for coping with the huge amount of data generated by the camera (achieving a compression ratio of up to 100:1 and real-time decompression); and a new 22-inch desktop HDR display for directly visualizing the dynamic HDR content.

Cited By

View all

Mukherjee RMelo MFilipe VChalmers ABessa M(2020)Backward Compatible Object Detection Using HDR Image ContentIEEE Access10.1109/ACCESS.2020.30103408(142736-142746)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3010340
KINOSHITA YSHIOTA SKIYA H(2018)A Pseudo Multi-Exposure Fusion Method Using Single ImageIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.E101.A.1806E101.A:11(1806-1814)Online publication date: 1-Nov-2018
https://doi.org/10.1587/transfun.E101.A.1806
KINOSHITA YSHIOTA SKIYA H(2017)Fast Inverse Tone Mapping Based on Reinhard's Global Operator with Estimated ParametersIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.E100.A.2248E100.A:11(2248-2255)Online publication date: 2017
https://doi.org/10.1587/transfun.E100.A.2248
Show More Cited By

Index Terms

High-dynamic-range video solution
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
    2. Rendering
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Graphics input devices

Recommendations

High dynamic range video

Typical video footage captured using an off-the-shelf camcorder suffers from limited dynamic range. This paper describes our approach to generate high dynamic range (HDR) video from an image sequence of a dynamic scene captured while rapidly varying the ...
High Dynamic Range Video: Concepts, Technologies and Applications
High dynamic range video
SIGGRAPH '03: ACM SIGGRAPH 2003 Papers

Typical video footage captured using an off-the-shelf camcorder suffers from limited dynamic range. This paper describes our approach to generate high dynamic range (HDR) video from an image sequence of a dynamic scene captured while rapidly varying the ...

Comments

Information & Contributors

Information

Published In

SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Art Gallery & Emerging Technologies: Adaptation

December 2009

89 pages

ISBN:9781605588780

DOI:10.1145/1665137

Conference Chairs:
Yuko Oda
New York Institute of Technology
,
Mariko Tanaka

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 December 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Conference

SA09

Sponsor:

SIGGRAPH

SA09: SIGGRAPH ASIA 2009

December 16 - 19, 2009

Yokohama, Japan

Acceptance Rates

Overall Acceptance Rate 178 of 869 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

13
Total Citations
View Citations
281
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Mukherjee RMelo MFilipe VChalmers ABessa M(2020)Backward Compatible Object Detection Using HDR Image ContentIEEE Access10.1109/ACCESS.2020.30103408(142736-142746)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3010340
KINOSHITA YSHIOTA SKIYA H(2018)A Pseudo Multi-Exposure Fusion Method Using Single ImageIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.E101.A.1806E101.A:11(1806-1814)Online publication date: 1-Nov-2018
https://doi.org/10.1587/transfun.E101.A.1806
KINOSHITA YSHIOTA SKIYA H(2017)Fast Inverse Tone Mapping Based on Reinhard's Global Operator with Estimated ParametersIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.E100.A.2248E100.A:11(2248-2255)Online publication date: 2017
https://doi.org/10.1587/transfun.E100.A.2248
Kinoshita YShiota SKiya H(2017)Reinhard's global operator based inverse tone mapping with one parameter2017 Eighth International Workshop on Signal Design and Its Applications in Communications (IWSDA)10.1109/IWSDA.2017.8095734(49-53)Online publication date: Sep-2017
https://doi.org/10.1109/IWSDA.2017.8095734
Huo YZhang X(2017)Single image‐based HDR image generation with camera response function estimationIET Image Processing10.1049/iet-ipr.2016.107511:12(1317-1324)Online publication date: 25-Oct-2017
https://doi.org/10.1049/iet-ipr.2016.1075
Chalmers ADebattista K(2017)HDR video past, present and futureImage Communication10.1016/j.image.2017.02.00354:C(49-55)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1016/j.image.2017.02.003
Tsun-Hsien Wang Cheng-Wen Chiu Wei-Chen Wu Jen-Wen Wang Chun-Yi Lin Ching-Te Chiu Jing-Jia Liou (2015)Pseudo-Multiple-Exposure-Based Tone Fusion With Local Region AdjustmentIEEE Transactions on Multimedia10.1109/TMM.2015.240361217:4(470-484)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1109/TMM.2015.2403612
Melo MBessa MDebattista KChalmers A(2014)Evaluation of HDR video tone mapping for mobile devicesImage Communication10.1016/j.image.2013.09.01029:2(247-256)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1016/j.image.2013.09.010
Selmanovic EDebattista KBashford-Rogers TChalmers A(2014)Enabling stereoscopic high dynamic range videoImage Communication10.1016/j.image.2013.08.00429:2(216-228)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1016/j.image.2013.08.004
Selmanović EDebattista KBashford-Rogers TChalmers A(2013)Generating stereoscopic HDR images using HDR-LDR image pairsACM Transactions on Applied Perception10.1145/2422105.242210810:1(1-18)Online publication date: 4-Mar-2013
https://dl.acm.org/doi/10.1145/2422105.2422108
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

Cited By

Index Terms

Recommendations