A Comparative Study of Various Tone Mapping Methods
In the recent years, high dynamic range imaging has
gain popularity with the advancement in digital photography. In this
contribution we present a subjective evaluation of various tone
production and tone mapping techniques by a number of participants.
Firstly, standard HDR images were used and the participants were
asked to rate them based on a given rating scheme. After that, the
participant was asked to rate HDR image generated using linear and
nonlinear combination approach of multiple exposure images. The
experimental results showed that linearly generated HDR images
have better visualization than the nonlinear combined ones. In
addition, Reinhard et al. and the exponential tone mapping operators
have shown better results compared to logarithmic and the Garrett et
al. tone mapping operators.
[1] E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High dynamic
range imaging acquisition, display and image-based lighting, 1st ed. San
Francisco: Morgan Kaufmann Publisher, An imprint of Elsevier, 2005,
pp. 115-164.
[2] J. Duan, M. Berssan, C. Dance, and G. Qiu, "Tone-mapping high
dynamic range images by novel histogram adjustment," Pattern
Recognition, vol. 43, no. 5, pp. 1847-1862, May. 2010.
[3] A. Vavilin, K. Deb, and K.-hyun Jo, "Fast HDR Image Generation
Technique Based on Exposure Blending," in Trends in Applied
Intelligent Systems, 2010, pp. 379-388.
[4] T. Jinno, M. Okuda, and N. Adami, "Acqusition and encoding of high
dynamcirnage images using inverse tone mappoing," in Interantional
Conference Image Processing, 2007, pp. 181-184 Vol.4.
[5] K.-H. Jo and A. Vavilin, "HDR Image Generation based on Intensity
Clustering and Local Feature Analysis," Computers in Human Behavior,
Nov. 2010.
[6] B. Lim, R.-hong Park, and S. Kim, "High dynamic range for contrast
enhancement," IEEE Transactions on Consumer Electronics, vol. 52, no.
4, pp. 1454-1462, Nov. 2006.
[7] A. Vavilin and K.-hyun Jo, "Recursive HDR image generation from
differently exposed images based on local image properties," in
International Conference on Control, Automation and Systems, 2008,
pp. 2791-2796.
[8] Y. Bandoh, G. Qiu, M. Okuda, S. Daly, T. Ach, and O. C. Au, "Recent
advance in high dynamic range imaging technology," in IEEE 17th
International Conference on Image Processing September, 2010, pp.
3125-3128.
[9] Z. Guangjun and L. Yan, "An improved tone mapping algorithm for
high dynamic range images," in International Conference on Computer
Application and System Modeling, 2010, no. Iccasm, pp. 466-468 Vol.2.
[10] X. Li, K. M. Lam, and L. Shen, "An adaptive algorithm for the display
of high-dynamic range images," Journal of Visual Communication and
Image Representation, vol. 18, no. 5, pp. 397-405, Oct. 2007.
[11] A. Pardo and G. Sapiro, "Visulaization of high dynamic range images,"
in International Conference on Computer Vision, 2002, pp. 633-636
Vol.1.
[12] M. Čadík, M. Wimmer, L. Neumann, and A. Artusi, "Evaluation of
HDR tone mapping methods using essential perceptual attributes,"
Computers & Graphics, vol. 32, no. 3, pp. 330-349, Jun. 2008.
[13] W.-ho Cho and K.-S. Hong, "Extending dynamic range of two color
images under different exposures," in Proceedings of the 17th
International Conference on Pattern Recognition, 2004. ICPR 2004.,
2004, pp. 853-856 Vol.4.
[14] P. E. Debevvec and J. Malik, "Recovering High Dynamic Range
Radiance Maps from Photographs," in ACM SIGGRAPH Conference on
Computer Graphics, 2008, pp. 369-378.
[15] E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, "Photographic tone
reproduction for digital images," ACM Transactions on Graphics, vol.
21, no. 3, Jul. 2002.
[16] G. M. Johnson and M. D. Fairchild, "Rendering HDR images," in IS and
T/SID Color Imaging Conference, 2003, pp. 36-41. M. Young,
TheTechincal Writers Handbook. Mill Valley, CA: University Science,
1989.
[17] YasirSalih, Aamir S. Malik, "Comparison of Stochastic Filtering
Methods for 3D Tracking", 2011 Pattern Recognition 44 (10-11), pp.
2711-2737, March 2011.
[18] YasirSalih, Aamir S. Malik, Zazilah May, "Depth Estimation Using
Monocular Cues from Single Image", 2011 National Postgraduate
Conference (NPC 2011), UTP, Perak, Malaysia, 19-20 September 2011.
[19] YasirSalih, Aamir S. Malik, "3D Object Tracking Using Three Kalman
Filters" , 2011 IEEE Symposium of Computer & Informatics (ISCI
2011), Kuala Lumpur, Malaysia, 20-22 March 2011.
[20] YasirSalih, Aamir S. Malik, "3D Tracking Using Particle Filters" , 2011
International Instrumentation and Measurement Technology Conference
(I2MTC 2011), Binjiang, Hangzhau, China, 10-12 May 2011.
[21] YasirSalih, Aamir S. Malik, "Stochastic Filters for Object Tracking",
2011 the 15th IEEE Symposium on Consumer Electronics (ISCE 2011),
Singapore, 14-17 June 2011.
[22] Ramli, R., Malik, A. S., Hani, A. F. M. and Jamil, A. (2011), Acne
analysis, grading and computational assessment methods: an overview,
Skin Research and Technology, 17: no. doi: 10.1111/j.1600-
0846.2011.00542.x
[1] E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High dynamic
range imaging acquisition, display and image-based lighting, 1st ed. San
Francisco: Morgan Kaufmann Publisher, An imprint of Elsevier, 2005,
pp. 115-164.
[2] J. Duan, M. Berssan, C. Dance, and G. Qiu, "Tone-mapping high
dynamic range images by novel histogram adjustment," Pattern
Recognition, vol. 43, no. 5, pp. 1847-1862, May. 2010.
[3] A. Vavilin, K. Deb, and K.-hyun Jo, "Fast HDR Image Generation
Technique Based on Exposure Blending," in Trends in Applied
Intelligent Systems, 2010, pp. 379-388.
[4] T. Jinno, M. Okuda, and N. Adami, "Acqusition and encoding of high
dynamcirnage images using inverse tone mappoing," in Interantional
Conference Image Processing, 2007, pp. 181-184 Vol.4.
[5] K.-H. Jo and A. Vavilin, "HDR Image Generation based on Intensity
Clustering and Local Feature Analysis," Computers in Human Behavior,
Nov. 2010.
[6] B. Lim, R.-hong Park, and S. Kim, "High dynamic range for contrast
enhancement," IEEE Transactions on Consumer Electronics, vol. 52, no.
4, pp. 1454-1462, Nov. 2006.
[7] A. Vavilin and K.-hyun Jo, "Recursive HDR image generation from
differently exposed images based on local image properties," in
International Conference on Control, Automation and Systems, 2008,
pp. 2791-2796.
[8] Y. Bandoh, G. Qiu, M. Okuda, S. Daly, T. Ach, and O. C. Au, "Recent
advance in high dynamic range imaging technology," in IEEE 17th
International Conference on Image Processing September, 2010, pp.
3125-3128.
[9] Z. Guangjun and L. Yan, "An improved tone mapping algorithm for
high dynamic range images," in International Conference on Computer
Application and System Modeling, 2010, no. Iccasm, pp. 466-468 Vol.2.
[10] X. Li, K. M. Lam, and L. Shen, "An adaptive algorithm for the display
of high-dynamic range images," Journal of Visual Communication and
Image Representation, vol. 18, no. 5, pp. 397-405, Oct. 2007.
[11] A. Pardo and G. Sapiro, "Visulaization of high dynamic range images,"
in International Conference on Computer Vision, 2002, pp. 633-636
Vol.1.
[12] M. Čadík, M. Wimmer, L. Neumann, and A. Artusi, "Evaluation of
HDR tone mapping methods using essential perceptual attributes,"
Computers & Graphics, vol. 32, no. 3, pp. 330-349, Jun. 2008.
[13] W.-ho Cho and K.-S. Hong, "Extending dynamic range of two color
images under different exposures," in Proceedings of the 17th
International Conference on Pattern Recognition, 2004. ICPR 2004.,
2004, pp. 853-856 Vol.4.
[14] P. E. Debevvec and J. Malik, "Recovering High Dynamic Range
Radiance Maps from Photographs," in ACM SIGGRAPH Conference on
Computer Graphics, 2008, pp. 369-378.
[15] E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, "Photographic tone
reproduction for digital images," ACM Transactions on Graphics, vol.
21, no. 3, Jul. 2002.
[16] G. M. Johnson and M. D. Fairchild, "Rendering HDR images," in IS and
T/SID Color Imaging Conference, 2003, pp. 36-41. M. Young,
TheTechincal Writers Handbook. Mill Valley, CA: University Science,
1989.
[17] YasirSalih, Aamir S. Malik, "Comparison of Stochastic Filtering
Methods for 3D Tracking", 2011 Pattern Recognition 44 (10-11), pp.
2711-2737, March 2011.
[18] YasirSalih, Aamir S. Malik, Zazilah May, "Depth Estimation Using
Monocular Cues from Single Image", 2011 National Postgraduate
Conference (NPC 2011), UTP, Perak, Malaysia, 19-20 September 2011.
[19] YasirSalih, Aamir S. Malik, "3D Object Tracking Using Three Kalman
Filters" , 2011 IEEE Symposium of Computer & Informatics (ISCI
2011), Kuala Lumpur, Malaysia, 20-22 March 2011.
[20] YasirSalih, Aamir S. Malik, "3D Tracking Using Particle Filters" , 2011
International Instrumentation and Measurement Technology Conference
(I2MTC 2011), Binjiang, Hangzhau, China, 10-12 May 2011.
[21] YasirSalih, Aamir S. Malik, "Stochastic Filters for Object Tracking",
2011 the 15th IEEE Symposium on Consumer Electronics (ISCE 2011),
Singapore, 14-17 June 2011.
[22] Ramli, R., Malik, A. S., Hani, A. F. M. and Jamil, A. (2011), Acne
analysis, grading and computational assessment methods: an overview,
Skin Research and Technology, 17: no. doi: 10.1111/j.1600-
0846.2011.00542.x
@article{"International Journal of Information, Control and Computer Sciences:58439", author = "YasirSalih and AamirSaeed Malik and Wazirahbt.Md-Esa", title = "A Comparative Study of Various Tone Mapping Methods", abstract = "In the recent years, high dynamic range imaging has
gain popularity with the advancement in digital photography. In this
contribution we present a subjective evaluation of various tone
production and tone mapping techniques by a number of participants.
Firstly, standard HDR images were used and the participants were
asked to rate them based on a given rating scheme. After that, the
participant was asked to rate HDR image generated using linear and
nonlinear combination approach of multiple exposure images. The
experimental results showed that linearly generated HDR images
have better visualization than the nonlinear combined ones. In
addition, Reinhard et al. and the exponential tone mapping operators
have shown better results compared to logarithmic and the Garrett et
al. tone mapping operators.", keywords = "tone mapping, high dynamic range, low dynamic
range, bits per pixel.", volume = "5", number = "10", pages = "1132-6", }
