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

Khaldoon M. Mhaidat, Mohammad I. Alali and Inad A. Aljarrah
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Khaldoon M. Mhaidat: Computer Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Mohammad I. Alali: Computer Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Inad A. Aljarrah: Computer Engineering Department, Jordan University of Science and Technology, Irbid, Jordan

International Journal of Information Technology and Web Engineering (IJITWE), 2014, vol. 9, issue 4, 24-39

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.

Date: 2014
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