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LDR Image for Suitable Display in Conventional Display Devices by CIELAB based Tone-Mapping Algorithm

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Sadaf Afreen, Aizaz Tirmizi
10.5120/ijca2016907763

Sadaf Afreen and Aizaz Tirmizi. Article: LDR Image for Suitable Display in Conventional Display Devices by CIELAB based Tone-Mapping Algorithm. International Journal of Computer Applications 133(4):36-39, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Sadaf Afreen and Aizaz Tirmizi},
	title = {Article: LDR Image for Suitable Display in Conventional Display Devices by CIELAB based Tone-Mapping Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {133},
	number = {4},
	pages = {36-39},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

This paper presents a analysis of the CIELAB color feature based tone mapping technique. After analysis of these techniques we had concluded that saliency based tone mapping algorithm is not computationally efficient as good as the proposed methodology. The different Salience-based Tone mapping method for High dynamic range images the halo artifacts significantly reduced. The visual quality of tone-mapped image, especially attention-salient regions, is improved by the saliency-aware weighting. Experimental results show that the saliency-aware technique and the proposed method produce good results on a variety of high dynamic range images. The Visual quality of the proposed method is same as of saliency based tone mapping but it is more computational efficient.

References

  1. P. E. Debevec and J. Malik, “Rendering high dynamic range radiance maps from photographs,” in Proc. SIGGRAPH, Los Angeles, CA, USA, Aug. 1997, pp. 369–378.
  2. J. Tsotsos, “Analyzing vision at the complexity level,” Behav. Brain. Sci., vol. 13, no. 3, pp. 423–445, Mar. 1990.
  3. A. Borji, D. N. Sihite, and L. Itti, “Quantitative analysis of human model agreement in visual saliency modeling: A comparative study,” IEEE Trans. Image Process., vol. 22, no. 1, pp. 55–69, Jan. 2013.
  4. S. Grgic, M. Grgic, and B. Zovko-Cihlar, “Performance analysis of image compression using wavelets,” IEEE Trans. Ind. Electron., vol. 48, no. 3, pp. 682–695, Jun. 2001.
  5. P. Y. Hsiao, C. L. Lu, and L. C. Fu, “Multilayered image processing for multiscale Harris corner detection in digital realization,” IEEE Trans. Ind. Electron., vol. 57, no. 5, pp. 1799–1805, May 2010.
  6. J. Li, Y. H. Tian, T. J. Huang, and W. Gao, “Probabilistic multi-task learning for visual saliency estimation in video,” Int. J. Comput. Vis., vol. 90, no. 2, pp. 150–165, Nov. 2010.
  7. S. Y. Chen, G. J. Luo, X. Li, S. M. Ji, and B. W. Zhang, “The specular exponent as a criterion for appearance quality assessment of pearl like objects by artificial vision,” IEEE Trans. Ind. Electron., vol. 59, no. 8, pp. 3264–3272, Aug. 2012.
  8. C. Y. Chang and H. Lie, “Real-time visual tracking and measurement to control fast dynamics of overhead cranes,” IEEE Trans. Ind. Electron., vol. 59, no. 3, pp. 1640–1649, Mar. 2012.
  9. H. L. Zhuang, K. S. Low, and W. Y. Yau, “Multichannel pulse-coupled neural network-based color image segmentation for object detection,” IEEE Trans. Ind. Electron., vol. 59, no. 8, pp. 3299–3308, Aug. 2012.
  10. J. Garcia et al., “Directional people counter based on head tracking,” IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 3991–4000, Sep. 2013.
  11. E. Reinhard, G. Ward, S. Pattanaik, and P. E. Debevec, High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. San Mateo, CA, USA: Morgan Kaufmann, 2005.
  12. R. Fattal, D. Lischinski, and M.Werman, “Gradient domain high dynamic range compression,” ACMTrans. Graphics, vol. 27, no. 3, pp. 67:1–67:10, Jul. 2002.
  13. E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, “Photographic tone reproduction for digital images,” ACM Trans. Graphics, vol. 21, no. 3, pp. 267–276, Jul. 2002.
  14. A. Adams, The Print. ser. The Ansel Adams Photography series. New York, NY, USA: Little, Brown and Company, 1983.
  15. Z. Farbman, R. Fattal, D. Lischinski, and R. Szeliski, “Edge-preserving decompositions for multi-scale tone and detail manipulation,” ACM Trans. Graphics, vol. 21, no. 3, pp. 249–256, Aug. 2008.
  16. Zhengguo Li and Jinghong Zheng “Visual-Salience-Based Tone Mapping for High Dynamic Range Images” IEEE Transactions on Industrial Electronics, Vol. 61, No. 12, December 2014.

Keywords

Edge-aware weighting, high dynamic range (HDR), local filtering, saliency-aware weighting, tone mapping.