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  • Оценка эффекимвности применения параллельной версии алгоритма направленной интерполяции для модуля масштабирования цифровых изображений
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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Оценка эффекимвности применения параллельной версии алгоритма направленной интерполяции для модуля масштабирования цифровых изображений

Горный информационно-аналитический бюллетень (научно-технический журнал). 2014. № 1. С. 238–241.
Vnukov A., Егоров И. В.

This article deals with digital image scaling and optimizing of calculations by means of parallel processing. It is argued that the most efficient structure for this task is that of many-staged processing. Ii proposed to use FPGA as the hardware basis. The main velocity advantage of pipelined approach as compared with one-pass processing is the merit of fast zooming algorithms with a certain factor (in our case, 2) where majority of preliminary image analysis algorithms belong. Combination of targeted interpolation algorithm and pipeline mode allows elimination of consuming multiplication and division processes, using exclusively fast integer addition, diminution and shift operations of modern PLD equal in fast performance to VLSI. With modern PLD-aided scaling, higher response rate as compared to software-only approach is achievable along with the option of system modification.

Key words: image scaling, parallel processing, FPGA.

Research target: Computer Science
Priority areas: engineering science
Language: Russian
Full text
Keywords: параллельные вычислениямасштабирование изображенийFPGAПЛИСparallel processingimage scaling
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