Digital image processing using parallel computing based on CUDA technology; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)
| Parent link: | Journal of Physics: Conference Series Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012152, 7 p.] |
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| Egile nagusia: | |
| Egile korporatiboa: | , |
| Beste egile batzuk: | , |
| Gaia: | Title screen This article describes expediency of using a graphics processing unit (GPU) in big data processing in the context of digital images processing. It provides a short description of a parallel computing technology and its usage in different areas, definition of the image noise and a brief overview of some noise removal algorithms. It also describes some basic requirements that should be met by certain noise removal algorithm in the projection to computer tomography. It provides comparison of the performance with and without using GPU as well as with different percentage of using CPU and GPU. |
| Hizkuntza: | ingelesa |
| Argitaratua: |
2017
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| Gaiak: | |
| Sarrera elektronikoa: | http://dx.doi.org/10.1088/1742-6596/803/1/012152 http://earchive.tpu.ru/handle/11683/38195 |
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654450 |
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| 200 | 1 | |a Digital image processing using parallel computing based on CUDA technology |f I. P. Skirnevsky, A. V. Pustovit, M. O. Abdrashitova | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 15 tit.] | ||
| 330 | |a This article describes expediency of using a graphics processing unit (GPU) in big data processing in the context of digital images processing. It provides a short description of a parallel computing technology and its usage in different areas, definition of the image noise and a brief overview of some noise removal algorithms. It also describes some basic requirements that should be met by certain noise removal algorithm in the projection to computer tomography. It provides comparison of the performance with and without using GPU as well as with different percentage of using CPU and GPU. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\3526 |t Journal of Physics: Conference Series | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\19875 |t Vol. 803 : Information Technologies in Business and Industry (ITBI2016) |o International Conference, 21–26 September 2016, Tomsk, Russian Federation |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. N. V. Martyushev ; V. S. Avramchuk ; V. A. Faerman |v [012152, 7 p.] |d 2017 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a цифровая обработка | |
| 610 | 1 | |a обработка изображений | |
| 610 | 1 | |a параллельные вычисления | |
| 610 | 1 | |a CUDA | |
| 610 | 1 | |a графические процессоры | |
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| 610 | 1 | |a компьютерная томография | |
| 700 | 1 | |a Skirnevsky |b I. P. |c specialist in the field of automation and computer systems |c educational master Tomsk Polytechnic University |f 1989- |g Igor Petrovich |3 (RuTPU)RU\TPU\pers\35105 | |
| 701 | 1 | |a Pustovit |b A. V. | |
| 701 | 1 | |a Abdrashitova |b M. O. |c linguist |c Associate Professor of Tomsk Polytechnic University, candidate of philological sciences |f 1980- |g Mariya Ovseevna |3 (RuTPU)RU\TPU\pers\34817 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет (ТПУ) |b Институт развития стратегического партнерства и компетенций (ИСПК) |b Кафедра методики преподавания иностранных языков (МПИЯ) |3 (RuTPU)RU\TPU\col\18976 |
| 712 | 0 | 2 | |a Томский политехнический университет |b Институт кибернетики, ИК |c 2010-2017 |9 27025 |
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| 856 | 4 | |u http://dx.doi.org/10.1088/1742-6596/803/1/012152 | |
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