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Abstract

The main aim of enhancement of an image is to apply some operation on the image in spatial or frequency domain so that the resultant image is more appropriate than the original image for a particular application. In this paper a method to enhance low contrast images in spatial domain is proposed. The method first applies power law to correct the image tone and then applies improved histogram equalization to reduce the problem of noise amplification as in histogram equalization. The performance is measured both quantitatively and qualitatively and the results reveal that method is better than the state-of-the-art and can be applied to many image processing and computer vision application.

References

1. W. Wang, X. Wu, X. Yuan and Z. Gao, \"An Experiment-Based Review of Low-Light Image Enhancement Methods,\" in IEEE Access, vol. 8, pp. 87884-87917, 2020, doi: 10.1109/ACCESS.2020.2992749.https://theailearner.com/2019/01/30/contrast-stretching/

2. E. Irmak and A. H. Ertas, \"A review of robust image enhancement algorithms and their applications,\" 2016 IEEE Smart Energy Grid Engineering (SEGE), 2016, pp. 371-375, doi: 10.1109/SEGE.2016.7589554.

3. D. Ariateja, I. Ardiyanto and I. Soesanti, \"A Review of Contrast Enhancement Techniques in Digital Image Processing,\" 2018 4th International Conference on Science and Technology (ICST), 2018, pp. 1-6, doi: 10.1109/ICSTC.2018.8528579.

4. S. Rahman, M. M. Rahman, K. Hussain, S. M. Khaled and M. Shoyaib, \"Image enhancement in spatial domain: A comprehensive study,\" 2014 17th International Conference on Computer and Information Technology (ICCIT), 2014, pp. 368-373, doi: 10.1109/ICCITechn.2014.7073123.

5. X. M. Li, L. Li and X. Y. Li, \"A novel method of image enhancement based on the fractional Fourier transform,\" 2014 7th International Congress on Image and Signal Processing, 2014, pp. 148-152, doi: 10.1109/CISP.2014.7003767.

6. Y. Zhang, X. Lian, Q. Wu and X. Feng, \"Research and application of image enhancement,\" Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012, pp. 4596-4600, doi: 10.1109/WCICA.2012.6359350.

7. L. Wang and Y. Huang, \"An Improved Non-Linear Image Enhancement Method for Video Coding,\" 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 2008, pp. 79-84, doi: 10.1109/CISIS.2008.91.

8. S. S. Negi and Y. S. Bhandari, \"A hybrid approach to Image Enhancement using Contrast Stretching on Image Sharpening and the analysis of various cases arising using histogram,\" International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), 2014, pp. 1-6, doi: 10.1109/ICRAIE.2014.6909232.

9. M. Abdullah-Al-Wadud, M. H. Kabir, M. A. Akber Dewan and O. Chae, \"A Dynamic Histogram Equalization for Image Contrast Enhancement,\" in IEEE Transactions on Consumer Electronics, vol. 53, no. 2, pp. 593-600, May 2007, doi: 10.1109/TCE.2007.381734.

10. https://jblindsay.github.io/ghrg/Whitebox/Help/GaussianStretch.html.

11. N. Sengee, A. Sengee and H. Choi, \"Image contrast enhancement using bi-histogram equalization with neighborhood metrics,\" in IEEE Transactions on Consumer Electronics, vol. 56, no. 4, pp. 2727-2734, November 2010, doi: 10.1109/TCE.2010.5681162.

12. Y. Li and H. Zhang, \"Modified Clipped Histogram Equalization for Contrast Enhancement,\" 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies, 2012, pp. 653-658, doi: 10.1109/PDCAT.2012.97.

13. V. Stimper, S. Bauer, R. Ernstorfer, B. Schölkopf and R. P. Xian, \"Multidimensional Contrast Limited Adaptive Histogram Equalization,\" in IEEE Access, vol. 7, pp. 165437-165447, 2019, doi: 10.1109/ACCESS.2019.2952899.

14. P. Kaur, B. S. Khehra, A. P. Singh, “Color Image Enhancement using Histogram Equalization and Gamma Encoding”, Materials Today: Proceedings, Volume 46, Part 9, 2021.

Keywords

Enhancement, Histogram Equalization, noise amplification.