[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.4313/TEEM.2017.18.6.320

High-Performance and Low-Complexity Image Pre-Processing Method Based on Gradient-Vector Characteristics and Hardware-Block Sharing

Kim, Woo Suk (Electrical, Electronic, and Control Engineering, Han-Kyong University)
Lee, Juseong (Center of Human-centered Interaction for Coexistence)
An, Ho-Myoung (Department of Electronics, Osan University)
Kim, Jooyeon (School of Electrical Electronics Engineering, Ulsan College)

Publication Information

Transactions on Electrical and Electronic Materials / v.18, no.6, 2017 , pp. 320-322 More about this Journal

Abstract

In this paper, a high-performance, low-area gradient-magnitude calculator architecture is proposed, based on approximate image processing. To reduce the computational complexity of the gradient-magnitude calculation, vector properties, the symmetry axis, and common terms were applied in a hardware-resource-shared architec-ture. The proposed gradient-magnitude calculator was implemented using an Altera Cyclone IV FPGA (EP4CE115F29) and the Quartus II v.16 device software. It satisfied the output-data quality while reducing the logic elements by 23% and the embedded multipliers by 76%, compared with previous work.

Keywords

Edge map generation; Approximate image signal processing; Low-complexity hardware architecture;

Citations & Related Records

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