https://oldena.lpnu.ua/handle/ntb/52448| Title: | Image Contrast Enhancement Using a Modified Histogram Equalization |
| Authors: | Yelmanov, Sergei Romanyshyn, Yuriy |
| Affiliation: | Special Design Office of Television Systems Lviv Polytechnic National University University of Warmia and Mazury |
| Bibliographic description (Ukraine): | Yelmanov S. Image Contrast Enhancement Using a Modified Histogram Equalization / Sergei Yelmanov, Yuriy Romanyshyn // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 568–573. — (Machine Vision and Pattern Recognition). |
| Bibliographic description (International): | Yelmanov S. Image Contrast Enhancement Using a Modified Histogram Equalization / Sergei Yelmanov, Yuriy Romanyshyn // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 568–573. — (Machine Vision and Pattern Recognition). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | image contrast histogram modified equalization |
| Number of pages: | 6 |
| Page range: | 568-573 |
| Start page: | 568 |
| End page: | 573 |
| Abstract: | The histogram equalization is the basic technology in image processing, which is widely used to increase the integral contrast of the image and is characterized by high efficiency. However, known techniques of histogram equalization have a number of disadvantages, the major one of which is a decrease in the contrast of small objects in the image. To address this disadvantage, a new technique of modified histogram equalization is proposed based on the assessment of the two-dimensional probability distribution of brightness in the image. A new method of increasing the contrast of the image based on the modified equalization of histogram is also proposed. The proposed technique of modified histogram equalization can be recommended to increase the image contrast in automatic mode in imaging and image processing. |
| URI: | https://ena.lpnu.ua/handle/ntb/52448 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| References (Ukraine): | [1] R. C. Gonzalez, R. E. Woods, S. L. Eddins, Digital image processing using MATLAB, Prentice-Hall, Inc., NJ, USA, 2003. [2] R.J. Kosarevych, B.P. Rusyn, V.V. Korniy, T.I. Kerod, “Image Segmentation Based on the Evaluation of the Tendency of Image Elements to form Clusters with the Help of Point Field Characteristics”, Cybernetics and Systems and Analysis, vol.51, issue5, 2015, pp.704-713. [3] R. Ghabousian, N. Allahbakhshi, “Survey of Contrast Enhancement Techniques based on Histogram Equalization,” Int. J. Rev. Life Sci., vol. 5, no. 8, pp. 901–908, 2015. [4] R. Hummel, “Image enhancement by histogram transformation,” Comp. Graph. Image Process., vol. 6, pp. 184–195, 1977. [5] N. Hassan and N. Akamatsu, "A new approach for contrast enhancement using sigmoid function", International Arab Journal of Information Technology, vol. 1, no. 2, pp. 221-225, 2004. [6] Y. Kim, "Contrast enhancement using brightness preserving bihistogram equalization", IEEE Transactions. Consumer Electronics, Vol. 43, No. 1, pp. 1-8, 1997. [7] V.F. Nesteruk, V.A. Sokolova, “Questions of the theory of perception of subject images and a quantitative assessment of their contrast”, Optiko-electronic industry. - 1980. – no. 5. - pp. 11-13. [8] S. Yelmanov, Y. Romanyshyn, "A Method for Rapid Quantitative Assessment of Incomplete Integral Contrast for Complex Images", in Proceedings of 14th Int. Conf. on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TSET’2018), Lviv - Slavske, Ukraine (2018). [9] R.A. Vorobel, Loharyfmichna obrobka zobrazhen' [Logarithmic Image Processing], Naukova Dumka (2012), Kyiv, Ukraine. |
| References (International): | [1] R. C. Gonzalez, R. E. Woods, S. L. Eddins, Digital image processing using MATLAB, Prentice-Hall, Inc., NJ, USA, 2003. [2] R.J. Kosarevych, B.P. Rusyn, V.V. Korniy, T.I. Kerod, "Image Segmentation Based on the Evaluation of the Tendency of Image Elements to form Clusters with the Help of Point Field Characteristics", Cybernetics and Systems and Analysis, vol.51, issue5, 2015, pp.704-713. [3] R. Ghabousian, N. Allahbakhshi, "Survey of Contrast Enhancement Techniques based on Histogram Equalization," Int. J. Rev. Life Sci., vol. 5, no. 8, pp. 901–908, 2015. [4] R. Hummel, "Image enhancement by histogram transformation," Comp. Graph. Image Process., vol. 6, pp. 184–195, 1977. [5] N. Hassan and N. Akamatsu, "A new approach for contrast enhancement using sigmoid function", International Arab Journal of Information Technology, vol. 1, no. 2, pp. 221-225, 2004. [6] Y. Kim, "Contrast enhancement using brightness preserving bihistogram equalization", IEEE Transactions. Consumer Electronics, Vol. 43, No. 1, pp. 1-8, 1997. [7] V.F. Nesteruk, V.A. Sokolova, "Questions of the theory of perception of subject images and a quantitative assessment of their contrast", Optiko-electronic industry, 1980, no. 5, pp. 11-13. [8] S. Yelmanov, Y. Romanyshyn, "A Method for Rapid Quantitative Assessment of Incomplete Integral Contrast for Complex Images", in Proceedings of 14th Int. Conf. on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TSET’2018), Lviv - Slavske, Ukraine (2018). [9] R.A. Vorobel, Loharyfmichna obrobka zobrazhen' [Logarithmic Image Processing], Naukova Dumka (2012), Kyiv, Ukraine. |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Yelmanov_S-Image_Contrast_Enhancement_568-573.pdf | 1.82 MB | Adobe PDF | View/Open | |
| 2018_Yelmanov_S-Image_Contrast_Enhancement_568-573__COVER.png | 473.97 kB | image/png | View/Open |
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