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Reconstruction of high dynamic range images with poisson noise modeling and integrated denoising

Bart Goossens UGent, Quang Luong UGent, Jan Aelterman UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2011) IEEE International Conference on Image Processing ICIP. p.3429-3432
abstract
In this paper, we present a new method for High Dynamic Range (HDR) reconstruction based on a set of multiple photographs with different exposure times. While most existing techniques take a deterministic approach by assuming that the acquired low dynamic range (LDR) images are noise-free, we explicitly model the photon arrival process by assuming sensor data corrupted by Poisson noise. Taking the noise characteristics of the sensor data into account leads to a more robust way to estimate the non-parametric camera response function (CRF) compared to existing techniques. To further improve the HDR reconstruction, we adopt the split-Bregman framework and use Total Variation for regularization. Experimental results on real camera images and ground-truth data show the effectiveness of the proposed approach.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
High dynamic range imaging, denoising, CAMERA RESPONSE
in
IEEE International Conference on Image Processing ICIP
issue title
2011 18th IEEE International Conference on Image Processing (ICIP)
pages
3429 - 3432
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
18th IEEE International conference on Image Processing (ICIP 2011)
conference location
Brussels, Belgium
conference start
2011-09-11
conference end
2011-09-14
Web of Science type
Proceedings Paper
Web of Science id
000298962503141
ISSN
1522-4880
ISBN
9781457713033
DOI
10.1109/ICIP.2011.6116449
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2015257
handle
http://hdl.handle.net/1854/LU-2015257
date created
2012-02-01 18:33:34
date last changed
2012-11-13 16:35:29
@inproceedings{2015257,
  abstract     = {In this paper, we present a new method for High Dynamic Range (HDR) reconstruction based on a set of multiple photographs with different exposure times. While most existing techniques take a deterministic approach by assuming that the acquired low dynamic range (LDR) images are noise-free, we explicitly model the photon arrival process by assuming sensor data corrupted by Poisson noise. Taking the noise characteristics of the sensor data into account leads to a more robust way to estimate the non-parametric camera response function (CRF) compared to existing techniques. To further improve the HDR reconstruction, we adopt the split-Bregman framework and use Total Variation for regularization. Experimental results on real camera images and ground-truth data show the effectiveness of the proposed approach.},
  author       = {Goossens, Bart and Luong, Quang and Aelterman, Jan and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {IEEE International Conference on Image Processing ICIP},
  isbn         = {9781457713033},
  issn         = {1522-4880},
  keyword      = {High dynamic range imaging,denoising,CAMERA RESPONSE},
  language     = {eng},
  location     = {Brussels, Belgium},
  pages        = {3429--3432},
  publisher    = {IEEE},
  title        = {Reconstruction of high dynamic range images with poisson noise modeling and integrated denoising},
  url          = {http://dx.doi.org/10.1109/ICIP.2011.6116449},
  year         = {2011},
}

Chicago
Goossens, Bart, Quang Luong, Jan Aelterman, Aleksandra Pizurica, and Wilfried Philips. 2011. “Reconstruction of High Dynamic Range Images with Poisson Noise Modeling and Integrated Denoising.” In IEEE International Conference on Image Processing ICIP, 3429–3432. Piscataway, NJ, USA: IEEE.
APA
Goossens, B., Luong, Q., Aelterman, J., Pizurica, A., & Philips, W. (2011). Reconstruction of high dynamic range images with poisson noise modeling and integrated denoising. IEEE International Conference on Image Processing ICIP (pp. 3429–3432). Presented at the 18th IEEE International conference on Image Processing (ICIP 2011), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Goossens B, Luong Q, Aelterman J, Pizurica A, Philips W. Reconstruction of high dynamic range images with poisson noise modeling and integrated denoising. IEEE International Conference on Image Processing ICIP. Piscataway, NJ, USA: IEEE; 2011. p. 3429–32.
MLA
Goossens, Bart, Quang Luong, Jan Aelterman, et al. “Reconstruction of High Dynamic Range Images with Poisson Noise Modeling and Integrated Denoising.” IEEE International Conference on Image Processing ICIP. Piscataway, NJ, USA: IEEE, 2011. 3429–3432. Print.