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High Dynamic Range Imaging- A Review
Nayana A., Anoop K Johnson
Pages - 198 - 208     |    Revised - 30-06-2015     |    Published - 31-07-2015
Volume - 9   Issue - 4    |    Publication Date - July / August 2015  Table of Contents
High Dynamic Range Imaging, Multiple Exposure Fusion, Image Registration, Ghosting Artefacts, Single Shot Imaging.
The real world scenes have a very wide range of luminance levels. But in the field of photography, the ordinary cameras are not capable of capturing the true dynamic range of a natural scene. To enhance the dynamic range of the captured image, a technique known as High Dynamic Range (HDR) imaging is generally used. HDR imaging is the process of capturing scenes with larger intensity range than what conventional sensors can capture. It can faithfully capture the details in dark and bright part of the scene. In this paper HDR generation method such as multiple exposure fusion in image domain and radiance domain are reviewed. The main issues in HDR imaging using multiple exposure combination technique are Misalignment of input images, Noise in data sets and Ghosting artefacts. The removal of these artefacts is a major step in HDR reconstruction. Methods for removing misalignment and noise are discussed and detailed survey of ghost detection and removal techniques are given in this paper. Single shot HDR imaging is a recent technique in the field of HDR reconstruction. Here instead of taking multiple exposure input images, a single image is used for generating HDR image. Various methods for Single shot HDR imaging are also reviewed.
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1 R. K. Chaurasiya, Prof. K. R. Ramakrishnan, “High Dynamic Range Imaging”, International Conference on Communication Systems and Network Technologies, 2013.
2 Y. Bando, G. Qiu, M. Okuda, S. Daly,T. Aach and Oscar C. AU, “Recent Advances in High Dynamic Range Imaging Technology”, Proceedings of Sep. 2010 IEEE 17th International Conference on Image Processing, Hong Kong.
3 S. Mann , and R. W. Picard “On-being ’undigital’ with digital cameras: Extending dynamic range by combining differently exposed pictures”, In Proceedings of IS&T 46th annual conference (May 1995), pp. 422–428.
4 T. Mitsunaga and S. Nayar, ”Radiometric self calibration”, In Computer Vision and Pattern Recognition, IEEE Computer Society Conference(1999), volume 1, pp 374–380.
5 Paul E. Debevec, Jitendra Malik,“Recovering High Dynamic Range Radiance Maps from Photographs”, in: Proceedings of the SIGGRAPH 97 Conference, 1997, pp. 369–378.
6 Xiaojun Wu, Zhan Song, Gang Yu,“A Novel Multiple Exposure Merging Method for High Dynamic Range Image Generation” 2010 2nd International Conference on Signal Processing Systems (ICSPS).
7 T. Mertens, J. Kautz and F. V. Reeth, "Exposure Fusion," in IEEE Computer Society, pp. 382390, 2007.
8 Wen-Chung Kao, “High Dynamic Range Imaging by Fusing Multiple Raw Images and Tone Reproduction”, IEEE Transactions on Consumer Electronics, Vol. 54, No. 1, Feb. 2008.
9 T. Grosch, ” Fast and robust high dynamic range image generation with camera and object movement”, Proceedings of Vision, Modeling and Visualization Conference, 2006, pp. 277– 284.
10 G. Ward, “Fast, robust image registration for compositing high dynamic range photographs from hand-held exposures”, Journal of Graphics Tools, Volume 8/2003, pp. 17-30.
11 Y.-S.Heo, K.-M.Lee, S.-U.Lee, Y.Moon, J.Cha, “Ghost-free high dynamic range imaging”, in: Proceedings of the 10th Asian Conference on Computer Vision—ACCV, 2010, pp.486–500.
12 C. Aguerrebere, J. Delon, Y. Gousseau and P. Mus´e, “Simultaneous HDR image reconstruction and denoising for dynamic scenes”, 2013 IEEE International Conference on Computational Photography (ICCP), 19-21 Apr. 2013, pp. 1 – 11.
13 A.S. Deepa and S. Muthumariammal, “An Overview of Ghost Artifact in HDRI”, The SIJ Transactions on Computer Science Engineering & its Applications (CSEA), Vol. 2, No. 1, JanFeb 2014.
14 E. Reinhard, G. Ward, S. Pattanaik and P. Debevec, “High Dynamic Range Imaging- Acquisition, Display, And Image-Based Lighting”, The Morgan Kaufmann Series In Computer Graphics, 2005.
15 K. Jacobs, C. Loscos, G. Ward, ”Automatic high dynamic range image generation of dynamic environment”, IEEE Computer Graphics and Applications (2008), pp.84–93.
16 D.Sidibe, W.Puech, O.Strauss, “Ghost detection and removal in high dynamic range images”, Proceedings of the 17th European Signal Processing Conference, EUSIPCO, 2009, pp.2240– 2244.
17 Tae-Hong Min, Rae-Hong Park, Soon Keun Chang, “Histogram Based Ghost Removal in High Dynamic Range Images”, Proceedings of the International Conference on Multimedia and Expo ICME, 2009, pp.530–533.
18 F. Pece J. Kautz, “Bitmap movement detection: HDR for dynamic scenes”, Proceedings of Visual Media Production (CVMP), 2010, pp. 1–8.
19 O. Gallo, N. Gelfand, W.C. Chen, M. Tico, K. Pulli,” Artefact-free high dynamic range imaging”, Proceedings of the IEEE International Conference on Computational Photography (ICCP), 2009, pp. 1–7.
20 A. Srikantha, D´esir´e Sidib´e and F. M´eriaudeau, “An SVD-Based Approach for Ghost Detection and Removal in High Dynamic Range Images”, 21st International Conference on Pattern Recognition (ICPR 2012),Tsukuba, Japan, Nov.11-15, 2012.
21 T. Mertens, J. Kautz, F.V. Reeth,” Exposure fusion: a simple and practical alternative to high dynamic range photography”, Computer Graphics Forum 28 (2009), pp.161–171.
22 P. Burt, T. Adelson, “The Laplacian pyramid as a compact image code”, IEEE Transactions on Communication 31 (1983), pp. 532–540.
23 W. Zhang, W.-K. Cham, “Gradient-directed composition of multi- exposure images”, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2010, pp. 530–536.
24 E. A. Khan, A. O. Akyiz and E. Reinhard, “Ghost Removal in High Dynamic Range Images”, 2006 IEEE, International Conference on Image Processing.
25 M.Pedone, J.Heikkila,” Constrain propagation for ghost removal in high dynamic range images”, in: Proceedings of the International Conference on Computer Vision Theory and Applications—VISAPP, 2008, pp.36–41.
26 S. Nayar ,T. Mitsunaga,” High Dynamic Range Imaging:Spatially Varying Pixel Exposures”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume1, pp.472– 479, Jun 2000.
27 F. Yasuma, T. Mitsunaga, D. Iso, and S. Nayar, “Generalized Assorted Pixel Camera: PostCapture Control of Resolution, Dynamic Range and Spectrum”, IEEE Transactions on Image Processing, 99, Mar 2010.
28 M. Sch¨oberl, A. Belz, J. Seiler, S. Foessel, and A. Kaup.” High dynamic range video by spatially non-regular optical filtering”, Image Processing (ICIP), 2012 19th IEEE International Conference on, pp. 2757–2760.
29 J. Seiler and A. Kaup. “Complex-valued frequency selective extrapolation for fast image and video signal extrapolation”, Signal Processing Letters, IEEE, 17(11), pp.949–952, 2010.
30 C. Aguerrebere, A.Almansa, Y. Gousseau and J. Delon, “Single Shot High Dynamic Range Imaging Using Piecewise Linear Estimators”, Pablo Mus´e, IIE, Universidad de la Rep´ublica Herrera y Reissig 565, 11300 Uruguay.
31 J. Im, J. Jeon, M. Hayes, and J. Paik, “Single image-based ghost-free high dynamic range imaging using local histogram stretching and spatially-adaptive denoising,” IEEE Trans. Consumer Electronics, Nov. 2011, vol. 57, no. 4, pp.1478-1484.
32 A. T. Çelebi, R. Duvar and O. Urhan, ”Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation”, IEEE Transactions on Consumer Electronics, Vol. 61, No. 1, Feb. 2015.
Mr. Nayana A.
Department of Electronics and Communication Engineering Mar Baselios College of Engineering and Technology Trivandrum, India. - India
Mr. Anoop K Johnson
Mar Baselios College of Engineering and Technology - India