Search for dissertations about: "image processing fpga"
Showing result 1 - 5 of 20 swedish dissertations containing the words image processing fpga.
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1. Design Issues in VLSI Implementation of Image Processing Hardware Accelerators - Methodology and Implementation
Abstract : With the increasing capacity in today's hardware system design enabled by technology scaling, image processing algorithms with substantially more complexity can be implemented in a single chip with real-time performance. Combined with the demand for low power consumption or larger resolution seen in many applications such as mobile devices and HDTV, new design methodologies and hardware architectures are constantly called for to bridge the gap between designers productivity and what the technology could offer. READ MORE
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2. Design and Implementation of Embedded Video Surveillance Hardware
Abstract : The demands on video surveillance systems are rapidly increasing regarding parameters such as frame rate and resolution. Furthermore, with an ever increasing number of video streams, an automated process for extracting relevant information is required. READ MORE
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3. Discrete-Time Cellular Neural Networks Implemented on Field-Programmable Gate-Arrays to Build a Virtual Sensor System
Abstract : Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched field-programmable gate-arrays can be used to realize such systems on silicon. At first glance a pipelined approach, based on circuit switching, seems promising. READ MORE
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4. Developments for the FPGA-Based Digitiser in the PANDA Electromagnetic Calorimeters
Abstract : The strong interaction between quarks and gluons is one of the fundamental interactions described by the standard model of particle physics. Systems of quarks bound together by the strong interaction are known as hadrons, of which the proton and the neutron are the most common examples. READ MORE
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5. Image Processing Architectures for Binary Morphology and Labeling
Abstract : Conventional surveillance systems are omnipresent and most are still based on analog techniques. Migrating to the digital domain grants access to the world of digital image processing enabling automation of such systems, which means extracting information from the image stream without human interaction. READ MORE