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

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

Khaldoon M. Mhaidat, Mohammad I. Alali, Inad A. Aljarrah
Copyright: © 2014 |Volume: 9 |Issue: 4 |Pages: 16
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781466655324|DOI: 10.4018/ijitwe.2014100103
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MLA

Mhaidat, Khaldoon M., et al. "Efficient Low-Power Compact Hardware Units for Real-Time Image Processing." IJITWE vol.9, no.4 2014: pp.24-39. http://doi.org/10.4018/ijitwe.2014100103

APA

Mhaidat, K. M., Alali, M. I., & Aljarrah, I. A. (2014). Efficient Low-Power Compact Hardware Units for Real-Time Image Processing. International Journal of Information Technology and Web Engineering (IJITWE), 9(4), 24-39. http://doi.org/10.4018/ijitwe.2014100103

Chicago

Mhaidat, Khaldoon M., Mohammad I. Alali, and Inad A. Aljarrah. "Efficient Low-Power Compact Hardware Units for Real-Time Image Processing," International Journal of Information Technology and Web Engineering (IJITWE) 9, no.4: 24-39. http://doi.org/10.4018/ijitwe.2014100103

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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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