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- Lepistö, Niklas, et al.
(author)
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Design and Implementation of Video Pre-Processor for FPGA based SoC
- 2008
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Conference paper (peer-reviewed)abstract
- FPGA based implementation of embedded systems has many attractive characteristics such as: flexibility, low cost, high integration, embedded distributed memories and ex-tensive parallelism. Real-time video processing is an ap-plication area where FPGA based implementations have significant potential. This paper presents the design and implementation of a video pre-processor suitable for use in embedded display applications. Some of the key functions of the pre-processor are cropping and scaling of input video frames and the possibility to use multiple pre-processors in parallel to provide multiple video streams to a display unit
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| 2. |
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| 3. |
- Lepistö, Niklas, et al.
(author)
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Design Exploration of Video Pre-Processor for FPGA based SoC
- 2006
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Berlin : Springer Verlag. - 354036708X - 9783540367086 ; , s. 87-92
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Conference paper (peer-reviewed)abstract
- FPGA based implementation of embedded systems has many attractive characteristics such as: flexibility, low cost, high integration, embedded distributed memories and extensive parallelism. One application where there is a significant possible potential for FPGA is for the implementation of real-time video processing. In this paper we present an analysis of a video pre-processor and how this affects the FPGA and RAM resource usage and performance. From these results we indicate the best space-time mapping of operations under different design constraints. These results can be used as a decision base when implementing an FPGA based video enabled display unit.
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| 4. |
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| 5. |
- Lepistö, Niklas, et al.
(author)
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High Performance FPGA based Camera Architecture for Range Imaging
- 2005
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In: 23rd NORCHIP Conference 2005. - : IEEE conference proceedings. - 1424400643 ; , s. 165-168
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Conference paper (peer-reviewed)abstract
- Range imaging is often used in classification of objects in process industry. The speed of inspection needs to be high, so it does not become the bottleneck in the process. This paper presents an FPGA based architecture for range imaging. Using centre of gravity it calculates the range positions from 2D images. The results show that the proposed architecture can process range values with a performance up to 150 Msamples per second. Thus, using cheep standard technology we can achieve up to 3 times higher performance than expensive state-of-the-art high performance smart-cameras.
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