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    المؤلفون: S. I. Rudikov

    المصدر: Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 5, Pp 77-82 (2019)

    وصف الملف: electronic resource

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    Academic Journal
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    Academic Journal

    المصدر: Proceedings of the National Academy of Sciences of Belarus, Physical-Technical Series; Том 66, № 4 (2021); 470-482 ; Известия Национальной академии наук Беларуси. Серия физико-технических наук; Том 66, № 4 (2021); 470-482 ; 2524-244X ; 1561-8358 ; 10.29235/1561-8358-2021-66-4

    وصف الملف: application/pdf

    Relation: https://vestift.belnauka.by/jour/article/view/704/574; Enhancement of low illumination images based on an optimal hyperbolic tangent profle / S. C. Liu [et al.] // Comput. Electr. Eng. – 2018. – Vol. 70. – P. 538–550. https://doi.org/10.1016/j.compeleceng.2017.08.026; Zhi, N. An enhancement algorithm for coal mine low illumination images based on bi-Gamma function / N. Zhi, S. Mao, M. Li // J. Liaoning Tech. Univ. – 2018. – Vol. 37, №1. – P. 191–197. https://doi.org/10.11956/j.issn.1008-0562.2018.01.034; Nithyananda, C. R. Review on Histogram Equalization based Image Enhancement Techniques / C. R. Nithyananda, A. C. Ramachandra, Preethi // 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). – Chennai, 2016. – P. 2512–2517. https://doi.org/10.1109/ICEEOT.2016.7755145; Kim, T. K. Contrast enhancement system using spatially adaptive histogram equalization with temporal fltering / T. K. Kim, J.K. Paik, B. S. Kang // IEEE Trans. Consum. Electron. – 1998. – Vol. 44, №1. – P. 82–87. https://doi.org/10.1109/30.663733; Reza, A.M. Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement / A.M. Reza // Journal of VLSI Signal Process.-Syst. Signal Image Video Technol. – 2004. – Vol. 38, № 1. – P. 35–44. https://doi.org/10.1023/B:VLSI.0000028532.53893.82; Nandal, A. Contrast-based image enhancement algorithm using greyscale and color space / A. Nandal, V. Bhaskar, A. Dhaka // IET Signal Process. – 2018. – Vol. 12, №4. – P. 514–521. https://doi.org/10.1049/iet-spr.2017.0272; Xu, Q. Low-light image enhancement algorithm based on the wavelet transform and Retinex theory / Q. Xu, J. Cui, B. Chen // J. Hunan Univ. Arts Sci. – 2017. – Vol. 29, №2. – P. 41–46. https://doi.org/10.1007/s11801-018-8046-5; Low-Light Image Enhancement via a Deep Hybrid Network / W. Ren [et al.] // IEEE Trans. Image Process. – 2019. – Vol. 28, № 9. – P. 4364–4375. https://doi.org/10.1109/TIP.2019.2910412; Fast Image Enhancement Based on Maximum and Guided Filters / D. Zhu [et al.] // 2019 IEEE International Conference on Image Processing (ICIP). – Taipei, 2019. – P. 4080–4084. https://doi.org/10.1109/ICIP.2019.8803591; Kim, J.-Y. An advanced contrast enhancement using partially overlapped sub-block histogram equalization / J.-Y. Kim, L.-S. Kim, S.-H. Hwang // IEEE Transactions on Circuits and Systems for Video Technology. – 2001. – Vol. 11, № 4. – P. 475–484. https://doi.org/10.1109/76.915354; Huang, S.-C. Image contrast enhancement for preserving mean brightness without losing image features / S.-C. Huang, C.-H. Yeh // Engineering Applications of Artifcial Intelligence. – 2013. – Vol. 26, №5. – P. 1487–1492. https://doi.org/10.1016/j.engappai.2012.11.011; Al-Sammaraie, M.F. Contrast enhancement of roads images with foggy scenes based on histogram equalization / M.F. Al-Sammaraie // 10th International Conference on Computer Science and Education (ICCSE). – Cambridge, 2015. – P. 95–101. https://doi.org/10.1109/ICCSE.2015.7250224; https://vestift.belnauka.by/jour/article/view/704