Preview

COMPRESSION OF HIGH DYNAMIC RANGE OF SAR IMAGES

https://doi.org/10.21122/2309-4923-2018-1-51-57

Abstract

The paper presents results of our experiments on compression of the high dynamic range SAR images. The range is equal to 16-bit. Objectives of study were comparison of known approaches to compression of the high dynamic range images; selection of optimal parameters for compression algorithms, and selection of a no-reference measure for image quality assessment after compression. Tone-mapping transformations like gamma correction, Ashikhmin-operator, mu-transformation, as well as no-reference image quality assessment measures were tested. The results of the experiments are presented in the article. It was concluded that further research and analysis of various functions and approaches to compression of dynamic range of SAR images is necessary, since including in the article approaches do not give stable and positive results on all SAR images. It was also concluded that after transformation 16-bit images, it is very difficult to estimate which image is better, and it is necessary to use no-reference image quality assessment measure.

Keywords


About the Author

Yu. I. Golub
United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Belarus


References

1. Hoeffl , B. High-Dynamic-Range (HDR) Vision: Microelectronics, Image Processing, Computer Graphics / B. Hoefflinger // Springer Science & Business Media. – 16 февр. 2007 г. – 241 p.

2. Ashikhmin, M. A Tone Mapping Algorithm for High Contrast Images / M. Ashikhmin // Eurographics Workshop on Rendering. – 2002. – P. 1–11.

3. Starovoitov, V. Comparative Analysis of Some Dynamic Range Reduction Methods for SAR Image Visualization / V. Starovoitov // Pattern Recognition and Information Processing. – February 2017. – P. 63–76.

4. Tumblin, J. et al. Tone reproduction for realistic images / J. Tumblin, H. Rushmeier // IEEE Computer Graphics and Applications. – Nov. 1993. – Vol. 13, № 6. – P. 42–48.

5. Ferwerda, J. A. et al. An adaptation model for realistic image synthesis / J. A. Ferwerda, S. N. Pattanaik, P. Shirley, D. P. Greenberg // In SIGGRAPH ‘96 Proceedings. – P. 249–258.

6. Stockham, T. G. Image processing in the context of a visual model / T. G. Stockham // Proceedings of the IEEE. – July, 1972. – Vol.60, № 7. – P. 828–842.

7. Drago, F. Adaptive Logarithmic Mapping For Displaying High Contrast Scenes / F. Drago, K. Myszkowski, T. Annen, N. Chiba // EUROGRAPHICS. – September, 2003. – Vol. 22, № 3. – P. 419–426.

8. Gregory, W. et al. A visibility matching tone reproduction operator for high dynamic range scenes / G. W. Larson, H.Rushmeier, C. Piatko // IEEE Transactions on Visualization and Computer Graphics. – Vol.3, № 4. – Oct-Dec 1997. – P. 291–306.

9. Fattal, R. et al. Gradient Domain High Dynamic Range Compression / R. Fattal, D. Lischinski, M. Werman // Proceedings of the 29th annual conference on Computer graphics and interactive techniques, San Antonio, Texas. – July 23–26, 2002. – P. 249–256.

10. Starovoitov, V. Comparative Analysis of Some Dynamic Range Reduction Methods for SAR Image Visualization /V. Starovoitov // Pattern Recognition and Information Processing. – February 2017. – P. 63–76.

11. Lambers, M. Adaptive Dynamic Range Reduction for SAR Images / M. Lambers, A. Kolb // 7th European Conference on Synthetic Aperture Radar. – 2008. – P. 1–4.

12. Mane, T. Tone Mapping Methods: A Survey / T. Mane, S. S. Tamboli // International Conference on Recent Innovations in Engineering and Management. – 23 March 2016.

13. Volkov, A. V. Methods for assessing the quality of image filtering / A. V. Volkov // Molodezhnyj nauchno-tehnicheskij vestnik. – № 3. – Mart 2014. – P. 1–7.

14. ITU-R BT.709-5: Parameter values for the HDTV standards for production and international programme exchange, June 2015. https://www.itu.int/rec/R-REC-BT.709/en.

15. Yeganeh, H. Objective quality assessment of tone-mapped images / H. Yeganeh, Z. Wang // IEEE Transactions on Image Processing. – 2013. – Т. 22. – №. 2. – С. 657–667.


Review

For citations:


Golub Yu.I. COMPRESSION OF HIGH DYNAMIC RANGE OF SAR IMAGES. «System analysis and applied information science». 2018;(1):51-57. (In Russ.) https://doi.org/10.21122/2309-4923-2018-1-51-57

Views: 989


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2309-4923 (Print)
ISSN 2414-0481 (Online)