A low-power, CMOS retina with real-time, pixel-level processing capabilities is presented. Features extraction and edge enhancement are implemented with fully programmable ID Gabor convolutions. An equivalent computation rate of 3 GOPs is obtained at the cost of very low-power consumption (1.5 μW per pixel), providing real-time performances (50 microseconds for overall computation, 0.5GOPs/mW). Experimental results from the first realized prototype show a very good matching between measures and expected outputs.

A low-power, integrated smart-sensor with on-chip, real-time image processing capabilities

BARBARO, MASSIMO;RAFFO, LUIGI
2005-01-01

Abstract

A low-power, CMOS retina with real-time, pixel-level processing capabilities is presented. Features extraction and edge enhancement are implemented with fully programmable ID Gabor convolutions. An equivalent computation rate of 3 GOPs is obtained at the cost of very low-power consumption (1.5 μW per pixel), providing real-time performances (50 microseconds for overall computation, 0.5GOPs/mW). Experimental results from the first realized prototype show a very good matching between measures and expected outputs.
2005
smart sensors, bioinspired circuits, real-time image processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/101162
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