Development of an IT laboratory to launch an innovative research service for a noise reduction system based on AI algorithms (Q97833): Difference between revisions
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(Removed claim: summary (P836): The planned project concerns the extension of a multipurpose IT laboratory, dedicated R & D work by the project promoter. The idea of a laboratory is based on the creation of a high-performance computer infrastructure, supported by specialised software developed in the course of the R & D work. The term “noise” is understood to mean random abrupt changes in the colour of the individual pixel of the individual pixels in which they do not appear...) |
(Created claim: summary (P836): The planned project concerns the development of a multi-tasking IT laboratory dedicated to R & D works carried out by the projector. The idea of the laboratory is based on the creation of a highly efficient computer infrastructure, supported by specialised proprietary software developed in the course of R & D. The core of the project is R & D works, the implementation of which aims to create a system of noise reduction based on artificial intell...) |
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The planned project concerns the development of a multi-tasking IT laboratory dedicated to R & D works carried out by the projector. The idea of the laboratory is based on the creation of a highly efficient computer infrastructure, supported by specialised proprietary software developed in the course of R & D. The core of the project is R & D works, the implementation of which aims to create a system of noise reduction based on artificial intelligence algorithms. By noise, we mean accidental changes in the colors of individual pixels that do not occur in reality or have no logical reason to occur in the generated images. The project will consist of creating algorithms based on machine learning. This algorithm will be able to select noise resulting from the rendering process based on two sources of information. Mathematical analysis of the rendering process (i.e. information about points/pixels where the average number of light rays was found) and image analysis based on machine learning. As a result, the image will be modified (noise-free) already at the stage of the rendering process. (English) | |||||||||||||||
| Property / summary: The planned project concerns the development of a multi-tasking IT laboratory dedicated to R & D works carried out by the projector. The idea of the laboratory is based on the creation of a highly efficient computer infrastructure, supported by specialised proprietary software developed in the course of R & D. The core of the project is R & D works, the implementation of which aims to create a system of noise reduction based on artificial intelligence algorithms. By noise, we mean accidental changes in the colors of individual pixels that do not occur in reality or have no logical reason to occur in the generated images. The project will consist of creating algorithms based on machine learning. This algorithm will be able to select noise resulting from the rendering process based on two sources of information. Mathematical analysis of the rendering process (i.e. information about points/pixels where the average number of light rays was found) and image analysis based on machine learning. As a result, the image will be modified (noise-free) already at the stage of the rendering process. (English) / rank | |||||||||||||||
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| Property / summary: The planned project concerns the development of a multi-tasking IT laboratory dedicated to R & D works carried out by the projector. The idea of the laboratory is based on the creation of a highly efficient computer infrastructure, supported by specialised proprietary software developed in the course of R & D. The core of the project is R & D works, the implementation of which aims to create a system of noise reduction based on artificial intelligence algorithms. By noise, we mean accidental changes in the colors of individual pixels that do not occur in reality or have no logical reason to occur in the generated images. The project will consist of creating algorithms based on machine learning. This algorithm will be able to select noise resulting from the rendering process based on two sources of information. Mathematical analysis of the rendering process (i.e. information about points/pixels where the average number of light rays was found) and image analysis based on machine learning. As a result, the image will be modified (noise-free) already at the stage of the rendering process. (English) / qualifier | |||||||||||||||
point in time: 15 October 2020
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Revision as of 22:08, 15 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Development of an IT laboratory to launch an innovative research service for a noise reduction system based on AI algorithms |
Project in Poland financed by DG Regio |
Statements
1,884,537.6 zloty
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3,191,136.0 zloty
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59.06 percent
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1 January 2019
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30 June 2020
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COPERNICUS COMPUTING SP. Z O.O.
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Planowany projekt dotyczy rozbudowy wielozadaniowego laboratorium informatycznego, dedykowanego pracom B+R prowadzonym przez projektodawcę. Pomysł laboratorium opiera się na stworzeniu wysoce wydajnej infrastruktury komputerowej, wspartej specjalistycznym autorskim oprogramowaniem opracowanym w toku prac B+R. Istotą projektu są prace B+R, których realizacja ma na celu stworzenie systemu redukcji szumów opartego o algorytmy sztucznej inteligencji. Pod pojęciem szumów rozumiemy przypadkowe gwałtowne zmiany barw poszczególnych pikselii nie występujących w rzeczywistości lub nie mających logicznego powodu do występowania w obrazach generowanych. Przedsięwzięcie polegać będzie na stworzeniu algorytmów opartych o uczenia maszynowe. Algorytm ten będzie w stanie wyselekcjonować szumy wynikające z procesu renderingu w oparciu o dwa źródła informacji. Analizę matematyczną przebiegu procesu renderingu (czyli informację o punktach/pixelach, w które trafiła odmienna od średniej liczba promieni świetlnych) oraz analizę obrazu opartą o maszynowe uczenie się. W wyniku tego obraz będzie modyfikowany (pozbawiony szumów) już na etapie procesu renderingu. (Polish)
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The planned project concerns the development of a multi-tasking IT laboratory dedicated to R & D works carried out by the projector. The idea of the laboratory is based on the creation of a highly efficient computer infrastructure, supported by specialised proprietary software developed in the course of R & D. The core of the project is R & D works, the implementation of which aims to create a system of noise reduction based on artificial intelligence algorithms. By noise, we mean accidental changes in the colors of individual pixels that do not occur in reality or have no logical reason to occur in the generated images. The project will consist of creating algorithms based on machine learning. This algorithm will be able to select noise resulting from the rendering process based on two sources of information. Mathematical analysis of the rendering process (i.e. information about points/pixels where the average number of light rays was found) and image analysis based on machine learning. As a result, the image will be modified (noise-free) already at the stage of the rendering process. (English)
15 October 2020
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Identifiers
RPKP.01.02.01-04-0005/18
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