https://oldena.lpnu.ua/handle/ntb/52553| Title: | A Generalized Description for the Perceived Contrast of Image Elements |
| 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. A Generalized Description for the Perceived Contrast of Image Elements / 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. 488–493. — (Machine Vision and Pattern Recognition). |
| Bibliographic description (International): | Yelmanov S. A Generalized Description for the Perceived Contrast of Image Elements / 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. 488–493. — (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 perceived contrast image elements global contrast weighted contrast relative contrast |
| Number of pages: | 6 |
| Page range: | 488-493 |
| Start page: | 488 |
| End page: | 493 |
| Abstract: | In this paper, the problem of assessing the perceived contrast of image elements for no-reference measurement of the global contrast of complex (multi-element) images is considered. A new method for assess the perceived contrast of elements of complex image is proposed on the basis of measuring of the contrast of these elements on a prenormalized image with subsequent correction of the contrast value taking into account the dynamic range of the primary (original) image. A new generalized description of the perceived contrast of the image elements for different definitions of the contrast kernel is suggested. New definitions of the weighted and relative contrast of the image elements are proposed. A comparative analysis of the proposed and known definitions of the weighted and relative contrast of image elements was carried out. |
| URI: | https://ena.lpnu.ua/handle/ntb/52553 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| URL for reference material: | http://homepages.cae.wisc.edu/ |
| References (Ukraine): | [1] Z. Wang, and A.C. Bovik, Modern Image Quality Assessment. Morgan and Claypool Publishers, New York, 2006. [2] V. F. Nesteruk, and V. A. Sokolova, “Questions of the theory of perception of subject images and a quantitative assessment of their contrast”, Optiko-electronic industry, no. 5, pp. 11-131, 980. [3] W. K. Pratt, Digital Image Processing: PIKS Inside, 3rd edn, John Wiley & Sons, New York, 2001. [4] R.C. Gonzalez, and R.E. Woods, Digital Image Processing. 2nd edn, Prentice Hall, New Jersey, 2002. [5] Z. Wang, H.R. Sheikh, and A.C. Bovik, “Objective video quality assessment”, in Furht, B. and Marqure, O. (ed.), The Handbook of Video Databases: Design and Applications, CRC Press, Austin, USA, vol. 41, pp. 1041-1078, 2003. [6] V.F. Nesteruk, and N.N. Porfiryeva, “Contrast law of light perception”, Optics and spectroscopy, vol. ХХІХ, no. 6, pp. 1138 – 1143, 1970. [7] R.A. Vorobel, Loharyfmichna obrobka zobrazhen' [Logarithmic Image Processing], Naukova Dumka, Kyiv, Ukraine, 2012. [8] E. Yelmanova, “Quantitative Assessment of Contrast of the Image Elements”, Herald of Lviv Polytechnic National University, Series of Radio Electronics and Telecommunication, vol. 818, pp. 69-75, 2015. [9] E. Yelmanova, and Y. Romanyshyn, "Definitions of Weighted and Relative Contrasts of Elements of Monochrome Images", XII-th International Scientific and Technical Conference “Computer Science and Information Technologies” (CSIT’2017), Lviv, Ukraine, pp. 381-384, September 05 – 08, 2017. [10] E. Peli, "Contrast in Complex Images" in Journal of the Optical Society of America A (JOSA A), vol. 7, no. 10, pp. 2032-2040, 1990. [11] P. Whittle, "Increments and decrements: luminance discrimination", Vision Research, vol. 26, iss. 10, pp. 1677–1691, 1986 [12] Public-Domain Test Images for Homework’s and Projects, http://homepages.cae.wisc.edu/ /~ /images/.Lena.tif. |
| References (International): | [1] Z. Wang, and A.C. Bovik, Modern Image Quality Assessment. Morgan and Claypool Publishers, New York, 2006. [2] V. F. Nesteruk, and V. A. Sokolova, "Questions of the theory of perception of subject images and a quantitative assessment of their contrast", Optiko-electronic industry, no. 5, pp. 11-131, 980. [3] W. K. Pratt, Digital Image Processing: PIKS Inside, 3rd edn, John Wiley & Sons, New York, 2001. [4] R.C. Gonzalez, and R.E. Woods, Digital Image Processing. 2nd edn, Prentice Hall, New Jersey, 2002. [5] Z. Wang, H.R. Sheikh, and A.C. Bovik, "Objective video quality assessment", in Furht, B. and Marqure, O. (ed.), The Handbook of Video Databases: Design and Applications, CRC Press, Austin, USA, vol. 41, pp. 1041-1078, 2003. [6] V.F. Nesteruk, and N.N. Porfiryeva, "Contrast law of light perception", Optics and spectroscopy, vol. KhKhIKh, no. 6, pp. 1138 – 1143, 1970. [7] R.A. Vorobel, Loharyfmichna obrobka zobrazhen' [Logarithmic Image Processing], Naukova Dumka, Kyiv, Ukraine, 2012. [8] E. Yelmanova, "Quantitative Assessment of Contrast of the Image Elements", Herald of Lviv Polytechnic National University, Series of Radio Electronics and Telecommunication, vol. 818, pp. 69-75, 2015. [9] E. Yelmanova, and Y. Romanyshyn, "Definitions of Weighted and Relative Contrasts of Elements of Monochrome Images", XII-th International Scientific and Technical Conference "Computer Science and Information Technologies" (CSIT’2017), Lviv, Ukraine, pp. 381-384, September 05 – 08, 2017. [10] E. Peli, "Contrast in Complex Images" in Journal of the Optical Society of America A (JOSA A), vol. 7, no. 10, pp. 2032-2040, 1990. [11] P. Whittle, "Increments and decrements: luminance discrimination", Vision Research, vol. 26, iss. 10, pp. 1677–1691, 1986 [12] Public-Domain Test Images for Homework’s and Projects, http://homepages.cae.wisc.edu/ /~ /images/.Lena.tif. |
| 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-A_Generalized_Description_488-493.pdf | 666.86 kB | Adobe PDF | View/Open | |
| 2018_Yelmanov_S-A_Generalized_Description_488-493__COVER.png | 563.52 kB | image/png | View/Open |
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