Abstract
The research presents a preliminary approach to perform any type of image processing task using 16-bit digital signal controllers. Even though this attempt is aimed at Edge Detection, the research opens up possibilities for numerous other algorithms of signal and image processing that can be implemented using the same low cost hardware. FPGA’s & DSP’s are widely used to perform hardware-based signal processing task. It is an efficient but generally an expensive solution for image processing applications. On the other hand a conventional 8-bit MCU doesn’t have enough capability to handle memory intensive DSP algorithms. In this regard, a digital signal controller offers a tradeoff between cost and performance.
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Ajaz, S., Premaratne, P., Premaratne, M. (2012). Design and Implementation of Edge Detection Algorithm Using Digital Signal Controller (DSC). In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_71
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DOI: https://doi.org/10.1007/978-3-642-25944-9_71
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