Saturation and Hue Analysis Using Complex Hadamard Transform †
Abstract
:1. Introduction
2. Background and Motivation
2.1. Human Visual System (HVS)
2.2. CIE La*b* Color Space
2.3. HSV Color Space
3. CIE La*b* in Transform Domain
3.1. CS-SCHT
3.2. Change in Saturation
3.3. Change in Hue
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Aye, A.; Boon Poh, N.; Rahardja, S. Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform. IEEE Trans. Signal Process. 2009, 57, 2582–2593. [Google Scholar] [CrossRef]
- Aung, A. Sequency-Ordered Complex Hadamard Transforms And Their Applications To Communications And Signal Processing. Ph.D. Thesis, School of EEE, Nanyang Technological University, Singapore, 2009. [Google Scholar]
- Jabeen, D.; Monir, G.; Azim, F. Sequency Domain Signal Processing Using Complex Hadamard Transform. Circuits Syst. Signal Process. 2016, 35, 1783–1793. [Google Scholar] [CrossRef]
- Davidoff, J. Color perception. In The Handbook of Brain Theory and Neural Networks; Arbib, M.A., Ed.; MIT Pres: Cambridge, MA, USA, 1995; pp. 210–215. [Google Scholar]
- Carevic, D.; Caelli, T. Region-based coding of colour images using the Karhunen–Loeve transform. Graph. Models Image Process. 1997, 59, 27–38. [Google Scholar] [CrossRef] [Green Version]
- Gonzalez, R.C.; Woods, R.E. Digital Image Processing; Pearson Prentice Hall: Hoboken, NJ, USA, 2002. [Google Scholar]
- Xu, H.; Chen, Y. A Technique for Simulating Pseudo Natural Color Images Based on Spectral Similarity Scales. IEEE Geosci. Remote Sens. Lett. 2012, 9, 70–74. [Google Scholar] [CrossRef]
- Zhao, Z.; Mingbo, Z.; Bing, L.; Peng, T. ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN), Dallas, TX, USA, 4–9 August 2013; pp. 1–7. [Google Scholar]
- Nakai, K.; Hoshi, Y.; Taguchi, A. Color image contrast enhacement method based on differential intensity/saturation gray-levels histograms. In Proceedings of the 2013 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), Naha, Japan, 12–15 November 2013; pp. 445–449. [Google Scholar]
- Wirth, M.; Nikitenko, D. The Effect of Colour Space on Image Sharpening Algorithms. In Proceedings of the 2010 Canadian Conference on Computer and Robot Vision (CRV), Ottawa, ON, Canada, 31 May–2 June 2010; pp. 79–85. [Google Scholar]
- Montenegro, J.; Gomez, W.; Sanchez-Orellana, P. A comparative study of color spaces in skin-based face segmentation. In Proceedings of the 2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, Mexico, 30 September–4 October 2013; pp. 313–317. [Google Scholar]
- InternationalCommission on Illumination. CIE 15: Technical Report: ‘Colorimetry’, 3rd ed.; The Office of the Federal Register: Washington, DC, USA, 2004. [Google Scholar]
- Robertson, A.R. The CIE 1976 Color-Difference Formulae. Color Res. Appl. 1977, 2, 7–11. [Google Scholar] [CrossRef]
- Wandell, B.A. Foundations of Vision; Sinauer Associates: Sunderland, MA, USA, 1995. [Google Scholar]
- Konovalenko, I.A.; Smagina, A.A.; Nikolaev, D.P.; Nikolaev, P.P. ProLab: A Perceptually Uniform Projective Color Coordinate System. IEEE Access 2021, 9, 133023–133042. [Google Scholar] [CrossRef]
- A Guide to Undersatnd the Color Communication. Available online: https://www.google.com.pk/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=A+Guide+to+Understanding+Color+Communication+X-Rite%2C+Incorporated+2007 (accessed on 20 March 2022).
- Dou, Z.; Wang, N.; Li, B.; Wang, Z.; Li, H.; Liu, B. Dual Color Space Guided Sketch Colorization. IEEE Trans. Image Process. 2021, 30, 7292–7304. [Google Scholar] [CrossRef] [PubMed]
- Wu, J.; Wang, L.; Yang, G.; Senhadji, L.; Luo, L.; Shu, H. Sliding Conjugate Symmetric Sequency-Ordered Complex adamard Transform: Fast Algorithm and Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 2012, 59, 1321–1334. [Google Scholar] [CrossRef] [Green Version]
- Wu, J.; Wu, F.; Dong, Z.; Song, K.; Kong, Y.; Senhadji, L.; Shu, H. Fast Gray Code Kernel Algorithm for the Sliding Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform. IEEE Access 2018, 6, 56029–56045. [Google Scholar] [CrossRef]
- Kinoshita, Y.; Kiya, H. Hue-Correction Scheme Based on Constant-Hue Plane for Deep-Learning-Based Color-Image Enhancement. IEEE Access 2020, 8, 9540–9550. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Dur-e-Jabeen; Khan, T.; Ahmed, S.; Zaheen, Y.; Asghar, S. Saturation and Hue Analysis Using Complex Hadamard Transform. Eng. Proc. 2022, 20, 36. https://doi.org/10.3390/engproc2022020036
Dur-e-Jabeen, Khan T, Ahmed S, Zaheen Y, Asghar S. Saturation and Hue Analysis Using Complex Hadamard Transform. Engineering Proceedings. 2022; 20(1):36. https://doi.org/10.3390/engproc2022020036
Chicago/Turabian StyleDur-e-Jabeen, Tahmina Khan, Sarah Ahmed, Yasir Zaheen, and Samiya Asghar. 2022. "Saturation and Hue Analysis Using Complex Hadamard Transform" Engineering Proceedings 20, no. 1: 36. https://doi.org/10.3390/engproc2022020036