Efficient Low-Power Compact Hardware Units for Real-Time Image Processing

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Author(s): Khaldoon M. Mhaidat (Jordan University of Science and Technology, Jordan), Mohammad I. Alali (Jordan University of Science and Technology, Jordan)and Inad A. Aljarrah (Jordan University of Science and Technology, Jordan)
Copyright: 2016
Pages: 15
Source title: Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8789-9.ch035

Keywords: Human-Computer Interaction / Information Science Reference / Social Sciences & Humanities

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Abstract

This paper presents efficient low-power compact hardware designs for common image processing functions including the median filter, smoothing filter, motion blurring, emboss filter, sharpening, Sobel, Roberts, and Canny edge detection. The designs were described in Verilog HDL. Xilinx ISE design suite was used for code simulation, synthesis, implementation, and chip programming. The designs were all evaluated in terms of speed, area (number of LUTs and registers), and power consumption. Post placement and routing (Post-PAR) results show that they need very small area and consume very little power while achieving good frame per second rate even for HDTV high resolution frames. This makes them suitable for real-time applications with stringent area and power budgets.

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Efficient Low-Power Compact Hardware Units for Real-Time Image Processing

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