CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

CIELAB based Tone-Mapping Algorithm for LDR Image Generation

by Manoj Kumar Patle, Anshuj Jain
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 13
Year of Publication: 2016
Authors: Manoj Kumar Patle, Anshuj Jain
10.5120/ijca2016912485

Manoj Kumar Patle, Anshuj Jain . CIELAB based Tone-Mapping Algorithm for LDR Image Generation. International Journal of Computer Applications. 155, 13 ( Dec 2016), 28-31. DOI=10.5120/ijca2016912485

@article{ 10.5120/ijca2016912485,
author = { Manoj Kumar Patle, Anshuj Jain },
title = { CIELAB based Tone-Mapping Algorithm for LDR Image Generation },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 13 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number13/26667-2016912485/ },
doi = { 10.5120/ijca2016912485 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:10.612781+05:30
%A Manoj Kumar Patle
%A Anshuj Jain
%T CIELAB based Tone-Mapping Algorithm for LDR Image Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 13
%P 28-31
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a analysis of the CIELAB color feature based tone mapping technique. The basic tone mapping was generally the reverse going to the old technology objects compatibility. The compatibility is the basic requirement of the market to grow with the latest technology and the old objects to work with new technology. The paper worked for maintaining this compatibility. The basic theme of the work is done in the SCIELAB color space. The proposed method has done the tone mapping through the decomposition of the image in this SCIELAB color space. The Visual quality of the proposed method is same as of saliency based tone mapping but it is more computational efficient.

References
  1. Z. Wei, C. Wen, and Z. Li, "Local inverse tone mapping for scalable high dynamic range image coding," IEEE Trans. on Circuits and Systems for Video Tech. 2016, pp. 1-7, DOI 10.1109/TCSVT.2016.2611944
  2. K. Gu, S. Wang, G. Zhai, S. Ma, X. Yang, W. Lin, W. Zhang, and W. Gao, "Blind quality assessment of tone-mapped images via analysis of information, naturalness, and structure," IEEE Trans. on Mult., vol. 18, no. 3, Mar. 2016, pp. 432-443.
  3. K. Ma, H. Yeganeh, K. Zeng, and Z. Wang, "High dynamic range image compression by optimizing tone mapped image quality index," IEEE Trans. on Image Process., vol. 24, no. 10, Oct. 2015, pp. 3086-3097.
  4. H. Z. Nafchi, A. Shahkolaei, R. F. Moghaddam, and M. Cheriet, "FSITM: A feature similarity index for tone-mapped images," IEEE Signal Process. Let. vol. 22, no. 8, Aug. 2015, pp. 1026-1029.
  5. Z. Li, and J. Zheng, "Visual-salience-based tone mapping for high dynamic range images," IEEE Trans. on Industrial Electronics, vol. 61, no. 12, Dec. 2014, pp.7076-7082.
  6. T.-H. Wang, C.-W. Chiu, W.-C. Wu, J.-W. Wang, C.-Y. Lin, C.-T. Chiu, and J.-J. Liou, "Pseudo-multiple-exposure-based tone fusion with local region adjustment," IEEE Trans. on Multi., vol. 17, no. 4, Apr. 2015, pp. 470-484.
  7. A. Boschetti, N. Adami, R. Leonardi, and M. Okuda, "High dynamic range image tone mapping based on local histogram equalization," ICME 2010, pp. 1130-1135.
  8. P. Huang, Z. Su, and Z. Li, "Multi-scale bilateral grid for image tone mapping," IEEE, 2011, pp. 3143-3146.
  9. T. Jinno and M. Okuda, "Multiple exposure fusion for high dynamic range image acquisition," IEEE Trans. on Image Process., vol. 21, no. 1, Jan. 2012, pp. 358-365.
  10. R. C. Bilcu, S. Alenius and M. Vehvilainen, "Adaptive local tone mapping of color images," 20th Europ. Signal Process. Conf. (EUSIPCO 2012) Bucharest, Romania, August 27 - 31, 2012, pp. 1563-1567.
  11. Y. Kurmi and V. Chaurasia, “An image fusion approach based on adaptive fuzzy logic model with local level processing,” Int. Jour. Of Comp. Appl., Aug. 2015, vol. 124, no.1, pp. 39-42.
  12. D. Sharma, Y. Kurmi, and V. Chaurasia, “Formation of super- resolution image: a review,” Int. Jour. of Emerging Tech. and Adv. Engg., Apr. 2014, vol. 4, no. 4, pp. 218-221.
  13. Y. Kurmi and V. Chaurasia, “Performance of haze removal filter for hazy and noisy images,” Int. Jour. of Sci. Engg. and Tech., Apr. 2014, vol. 3 no. 4, pp. 437-439.
  14. S. Tiwari, K. Chauhan, and Y. Kurmi “Shadow detection and compensation in aerial images using MATLAB,” Int. Jour. of Comp. Appl., June 2015, vol. 119, no.20, pp. 5-9.
  15. B. Gu, W. Li, M. Zhu, and M. Wang, "Local edge-preserving multiscale decomposition for high dynamic range image tone mapping," IEEE Trans. on Image Process., vol. 22, no. 1, Jan. 2013, pp. 70-79.
  16. H. Yeganeh and Z. Wang, "Objective quality assessment of tone-mapped images," IEEE Trans. on Image Process., vol. 22, no. 2, Feb. 2013, pp. 657-667.
  17. H. Yeganeh and Z. Wang, "High dynamic range image tone mapping by maximizing a structural fidelity measure," ICASSP 2013, pp. 1879- 1883.
  18. A. Chakrabarti, Y. Xiong, B. Sun, T. Darrell, D. Scharstein, T. Zickler, and K. Saenko, "Modeling radiometric uncertainty for vision with tone-mapped color images," IEEE Trans. on Pattern Analysis and Machine Intell., vol. 36, no. 11, Nov. 2014, pp. 2185-2198.
  19. J. Xiao, W. Li, G. Liu, S.-L. Shaw, and Y. Zhang, "Hierarchical tone mapping based on image colour appearance model," IET Comput. Vis., 2014, vol. 8, no. 4, pp. 358–364, doi: 10.1049/iet-cvi.2013.0230
  20. Q. Wu, Z. Zhou, H. Leng, J. Cao, J. Wang, Z. Gong, X. Fan, H. Guo, "A novel real-time method for high dynamic range image tone mapping," 2014 IEEE, 2014, pp. 433-436.
  21. A. Agrawal and S. Raman, "A novel LBP based operator for tone mapping HDR images," IEEE 2014.
  22. T. S. Huang, "Coding of two tone images," IEEE Trans. on Commu., Nov. 1977, vol. Com-25, no. 11, pp. 1406-1424.
  23. C.-H. Lee, E.-Y. Chung, C.-S. Lee, E.-J. Lee, and Y.-H. Ha, "Tone reproduction technique using neural network in inkjet printers," Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, Adelaide, Australia, 31" Aug-1" Sept 1999, pp. 103-106.
  24. J. Duan and G. Qiu, "Fast tone mapping for high dynamic range images," Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04).
  25. A. lranli and M. Pedram, "DTM: Dynamic tone mapping for backlight scaling," Anaheim, California, USA, DAC June 13-17, 2005, pp. 612-617.
  26. M. K. Patle, B. Chourasia, and Y. Kurmi, "High Dynamic Range Image Analysis through Various Tone Mapping Techniques," Int. Jour. of Comp. Appl., vol.153, no. 11, Nov. 2016 pp. 14-17.
Index Terms

Computer Science
Information Sciences

Keywords

Tone mapping Image color space LDR generation HDR image processing

Powered by PhDFocusTM