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

In this paper, a high-performance, low-area gradient-magnitude calculator architecture is proposed, based on approximateimage processing. To reduce the computational complexity of the gradient-magnitude calculation, vector properties, thesymmetry axis, and common terms were applied in a hardware-resource–shared architec-ture. The proposed gradientmagnitudecalculator was implemented using an Altera Cyclone IV FPGA (EP4CE115F29) and the Quartus II v.16 devicesoftware. It satisfied the output-data quality while reducing the logic elements by 23% and the embedded multipliers by 76%,compared with previous work. KCI Citation Count: 4