13092

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Sparsh Mittal, Saket Gupta, Sudeb Dasgupta
IIT, Roorkee, India
2008

@inproceedings{ref13,

   title={FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications},

   year={2008},

   author={Sparsh, Mittal and Saket, Gupta and Sudeb Dasgupta},

   booktitle={National Conference On Research and Development In Hardware Systems (CSI-RDHS)},

   address={Kolkata, India},

   url={https://www.academia.edu/2475777/FPGA_An_Efficient_And_Promising_Platform_For_Real-Time_Image_Processing_Applications},

   abstract={Digital image processing(DIP) is an ever growing area with a variety of applications including medicine, video surveillance, and many more. To implement the upcoming sophisticated DIP algorithms and to process the large amount of data captured from sources such as satellites or medical instruments, intelligent high speed real-time systems have become imperative. Image processing algorithms implemented in hardware (instead of software) have recently emerged as the most viable solution for improving the performance of image processing systems. This paper reviews the relative merit of FPGA over softwares and DSPs as a platform for implementation of DIP applications. Our goal is to familiarize applications programmers with the state of the art in compiling high-level programs to FPGAs, and to survey the relevant research work on FPGAs. The outstanding features which FPGAs offer such as optimization, high computational density, low cost etc, make them an increasingly preferred choice of experts in image processing field today.}

}

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Digital image processing(DIP) is an ever growing area with a variety of applications including medicine, video surveillance, and many more. To implement the upcoming sophisticated DIP algorithms and to process the large amount of data captured from sources such as satellites or medical instruments, intelligent high speed real-time systems have become imperative. Image processing algorithms implemented in hardware (instead of software) have recently emerged as the most viable solution for improving the performance of image processing systems. This paper reviews the relative merit of FPGA over softwares and DSPs as a platform for implementation of DIP applications. Our goal is to familiarize applications programmers with the state of the art in compiling high-level programs to FPGAs, and to survey the relevant research work on FPGAs. The outstanding features which FPGAs offer such as optimization, high computational density, low cost etc, make them an increasingly preferred choice of experts in image processing field today.
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