Next Article in Journal
A Decision Mixture Model-Based Method for Inshore Ship Detection Using High-Resolution Remote Sensing Images
Previous Article in Journal
Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(7), 1473; doi:10.3390/s17071473

Stereo Vision-Based High Dynamic Range Imaging Using Differently-Exposed Image Pair

1
School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 136-701, Korea
2
Samsung Electronics Co. Ltd., 1, Samsungjeonja-ro, Hwaseong-si 445-330, Gyeonggi-do, Korea
3
Department of Multimedia Engineering, Dongguk University, Pildong-ro 1gil 30, Jung-gu, Seoul 100-715; Korea
*
Author to whom correspondence should be addressed.
Received: 4 May 2017 / Revised: 19 June 2017 / Accepted: 19 June 2017 / Published: 22 June 2017
(This article belongs to the Section Physical Sensors)

Abstract

In this paper, a high dynamic range (HDR) imaging method based on the stereo vision system is presented. The proposed method uses differently exposed low dynamic range (LDR) images captured from a stereo camera. The stereo LDR images are first converted to initial stereo HDR images using the inverse camera response function estimated from the LDR images. However, due to the limited dynamic range of the stereo LDR camera, the radiance values in under/over-exposed regions of the initial main-view (MV) HDR image can be lost. To restore these radiance values, the proposed stereo matching and hole-filling algorithms are applied to the stereo HDR images. Specifically, the auxiliary-view (AV) HDR image is warped by using the estimated disparity between initial the stereo HDR images and then effective hole-filling is applied to the warped AV HDR image. To reconstruct the final MV HDR, the warped and hole-filled AV HDR image is fused with the initial MV HDR image using the weight map. The experimental results demonstrate objectively and subjectively that the proposed stereo HDR imaging method provides better performance compared to the conventional method. View Full-Text
Keywords: high dynamic range imaging; high dynamic range reconstruction; stereo matching; stereo vision system; hole-filling high dynamic range imaging; high dynamic range reconstruction; stereo matching; stereo vision system; hole-filling
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Park, W.-J.; Ji, S.-W.; Kang, S.-J.; Jung, S.-W.; Ko, S.-J. Stereo Vision-Based High Dynamic Range Imaging Using Differently-Exposed Image Pair. Sensors 2017, 17, 1473.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top