A Retina-Inspired Robust On-Focal-Plane Multi-Band Edge-Detection Scheme for CMOS Image Sensors

An edge-detection scheme suitable for machine vision and digital motion detection applications is presented. The scheme is inspired by the human visual system (human retina) and modified for a compact and scalable CMOS hardware implementation. In addition, pixel circuit and implementation of the scheme on a CMOS focal-plane are proposed and simulation results are presented. The circuit performs thresholding and single-bit quantization of high-frequency image content over multiple frequency bands using a low-complexity down-sampling scheme. As a result, a 1-bit per pixel output is obtained which results in efficient edge-detection of the image content. Depending on the number of the utilized frequency bands, the presented scheme achieves image compression levels that range from 1 BPP (bit-per-pixel) to 1.33 BPP. The proposed acquisition technique and the corresponding CMOS circuit can easily be adjusted to various imaging applications and scaled towards new CMOS technology nodes and high resolution image sensors.

Presented at:
The IEEE 57th International Midwest Symposium on Circuits and Systems, College Station, Texas, USA, August 3-6, 2014

 Record created 2014-05-28, last modified 2018-09-13

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