Research Article |
Contrast Enhancement of Colour Images by Optimized Fuzzy Intensification
Author(s): Avadhesh Kumar Dixit*, Rakesh Kumar Yadav and Ramapati Mishra
Published In : International Journal of Electrical and Electronics Research (IJEER) volume 9, issue 4
Publisher : FOREX Publication
Published : 30 December 2021
e-ISSN : 2347-470X
Page(s) : 143-149
Abstract
Contrast enhancement is a critical and difficult issue because inappropriate enhancement by existing global image enhancement techniques might result in over or under enhancement. Varying areas of the image that are lighted indicate different shades and contrast in the output images. Projected technique uses local colour correction in the Hue Saturation Luminance (HSL) colour space. To control colour fidelity in initial phase an optimized fuzzy intensification parameters are extracted automatically form fuzzy inference system for that particular image. Finally optimized Fuzzy Intensification parameter constants are used to minimize overexposed and underexposed areas and offers elevated contrast improvement. Several lab test conducted to analyze the effectiveness of the proposed method with existing strategies. Many quality evaluation parameters are evaluated, and findings are compared to some known colour picture contrast enhancement approaches. The produced output comparatively better than many existing techniques which support a moderate measure to visual perception of the processed images.
Keywords: Local Colour Correction
, Fast Fourier Transform
, Local colour correction
, fuzzy intensification
, Fuzzy inference system
.
Avadhesh Kumar Dixit*, Research Scholar, IFTM University, Moradabad, Uttar Pradesh, India; Email: dixit1008@gmail.com
Rakesh Kumar Yadav, Assistant Professor, IFTM University, Moradabad, Uttar Pradesh, India
Ramapati Mishra, Professor, Dr. RamManohar Lohia Avadh University, Ayodhya, Uttar Pradesh, India
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[1] Gonzales R.C. and R.E. Woods, Digital Imaging Process. Prentice Hall, New Jersey, 2002.
-
[2] S. Sridhar, Digital Image Processing. Oxford University Press, New Delhi, 2013.
-
[3] Chicago A. A. Michelson, Studies in Optics. Chicago: USA: University of Press, 1927.
-
[4] E. Peli, “Contrast in complex images,” J. Opt. Soc. Am. A, vol. 7, no. 10, pp. 2032–2040, 1990.
-
[5] G. Yadav, S. Maheshwari, and A. Agarwal, “Contrast limited adaptive histogram equalization based enhancement for real time video system,” in 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014, pp. 2392–2397.
-
[6] M. Abdullah-Al-Wadud, M. Kabir, M. Dewan, and O. Chae, “A Dynamic Histogram Equalization for Image Contrast Enhancement,” Consum. Electron. IEEE Trans., vol. 53, pp. 593–600, Jun. 2007.
-
[7] S. Chien, F. Chang, K. Hua, I. Chen, and Y. Chen, “Contrast enhancement by using global and local histogram information jointly,” in 2017 International Conference on Advanced Robotics and Intelligent Systems (ARIS), 2017, p. 75.
-
[8] M. Moniruzzaman, M. Shafuzzaman, and M. Hossain, Brightness preserving Bi-histogram equalization using edge pixels information. 2014.
-
[9] H. Ibrahim and N. S. P. Kong, “Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement,” IEEE Trans. Consum. Electron. vol. 53, no. 4, pp. 1752–1758, 2007.
-
[10] L. Zhuang and Y. Guan, “Image Enhancement via Subimage Histogram Equalization Based on Mean and Variance,” Comput. Intell. Neurosci., vol. 2017, p. 6029892, 2017.
-
[11] S. Der Chen and A. Ramli, “Minimum mean brightness error Bi-histogram equalization in contrast enhancement,” Consum. Electron. IEEE Trans., vol. 49, pp. 1310–1319, Dec. 2003.
-
[12] G. Raju and M. S. Nair, “A fast and efficient colour image enhancement method based on fuzzy-logic and histogram,” AEU - Int. J. Electron. Commun., vol. 68, no. 3, pp. 237–243, 2014.
-
[13] S. C. F. Lin et al., “Image Enhancement Using the Averaging Histogram Equalization (AVHEQ) Approach for Contrast Improvement and Brightness Preservation,” Comput. Electr. Eng., vol. 46, no. C, pp. 356–370, Aug. 2015.
-
[14] C. Wong et al., “Histogram Equalization and Optimal Profile Compression based Approach for Colour Image Enhancement,” J. Vis. Commun. Image Represent. vol. 38, Apr. 2016.
-
[15] G. Cao, L. Huang, H. Tian, X. Huang, Y. Wang, and R. Zhi, “Contrast enhancement of brightness-distorted images by improved adaptive gamma correction,” Comput. Electr. Eng., vol. 66, pp. 569–582, 2018.
-
[16] S. Zaheeruddin and K. Suganthi, “Image Contrast Enhancement by Homomorphic Filtering based Parametric Fuzzy Transform,” Procedia Comput. Sci., vol. 165, pp. 166–172, 2019.
-
[17] B. Subramani and M. Veluchamy, “Quadrant dynamic clipped histogram equalization with gamma correction for colour image enhancement,” Colour Res. Appl., vol. 45, no. 4, pp. 644–655, 2020.
-
[18] R. Chandrasekharan and M. Sasikumar, “Fuzzy Transform for Contrast Enhancement of Nonuniform Illumination Images,” IEEE Signal Process. Lett., vol. 25, no. 6, pp. 813–817, 2018.
-
[19] A. K. Dixit, R. K. Yadav, and R. Mishra, “Image Contrast Optimization using Local Colour Correction and Fuzzy Intensification,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 5, pp. 115–124, 2021.
-
[20] A. (2017) Qureshi, Muhammad Ali; Sdiri, Bilel; Deriche, Mohamed; Alaya-Cheikh, Faouzi; Beghdadi, “‘Contrast Enhancement Evaluation Database (CEED2016)’, Mendeley Data,” vol. 3, 2017.
-
[21] J. Yang, W. Zhong, and Z. Miao, “On the Image enhancement histogram processing,” in 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), 2016, pp. 252–255.
-
[22] K. Nakai, Y. Hoshi, and A. Taguchi, “Colour image contrast enhacement method based on differential intensity/saturation gray-levels histograms,” in 2013 International Symposium on Intelligent Signal Processing and Communication Systems, 2013, pp. 445–449.
-
[23] X. Dong, Y. Pang, and J. Wen, “Fast efficient algorithm for enhancement of low lighting video,” 2011 IEEE Int. Conf. Multimed. Expo, pp. 1–6, 2011.
-
[24] C.-H. Lee, J.-L. Shih, C.-C. Lien, and C.-C. Han, Adaptive Multiscale Retinex for Image Contrast Enhancement. 2013.
-
[25] X. Ren, M. Li, W. H. Cheng, and J. Liu, “Joint Enhancement and Denoising Method via Sequential Decomposition,” Proc. - IEEE Int. Symp. Circuits Syst., vol. 2018-May, 2018.
-
[26] S. Wang, J. Zheng, H.-M. Hu, and B. Li, “Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images,” IEEE Trans. Image Process. vol. 22, May 2013.