Abstract

A bioinspired model for mixed-signal array mimics the way in which images are processed in the visual pathway. Focal-plane processing of images permits local adaptation of photoreceptor structures in silicon. Beyond simple resistive grid filtering, nonlinear and anisotropic diffusion can be programmed in this CNN chip. This paper presents the local circuitry for sensors adaptation based on the mixed-signal VLSI parallel processing infrastructure in CMOS.

Keywords:
Very-large-scale integration Computer science CMOS Signal processing Anisotropic diffusion Resistive touchscreen SIGNAL (programming language) Adaptation (eye) Chip Image processing Cellular neural network Electronic engineering Artificial intelligence Computer vision Computer hardware Image (mathematics) Digital signal processing Embedded system Telecommunications Engineering Artificial neural network Optics Physics

Metrics

7
Cited By
1.48
FWCI (Field Weighted Citation Impact)
7
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

CCD and CMOS Imaging Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering

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