JOURNAL ARTICLE

CMOS image sensor camera with focal plane edge detection

Abstract

We present a simple, yet robust, VLSI implementation of sampled-method edge detection. Our technique adopts the well-known correlated double sampling (CDS), usually used for fixed pattern noise (FPN) reduction, to perform a sampled differentiation of the captured image to detect visual edges. This circuit is usually an integral part of most CMOS image sensors; therefore no additional area is required to include the proposed edge detection functionality in the image sensor. The imager array was implemented using active pixel sensor (APS) technology with dual mode of operation: a logarithmic (continuous) mode with wide optical dynamic range and a linear (integrating) mode with higher image quality. The real-time edge detection was demonstrated in the both modes of operation. This technique can be easily extended to perform temporal differentiation, providing a simple method for motion detection. The prototype chip was fabricated using standard 0.5 /spl mu/m CMOS process with an array of 64/spl times/64 pixels and pixel size of 30/spl times/30 /spl mu/m. The fill factor is /spl sim/60% and the system working voltage is 3.3 V. Results indicate that the proposed architecture is suitable for applications such as security, and industrial inspection, where integrated functionalities are advantageous.

Keywords:
Correlated double sampling Image sensor Pixel Fixed-pattern noise Computer science CMOS Artificial intelligence Dynamic range Edge detection Enhanced Data Rates for GSM Evolution Chip Computer vision Noise (video) CMOS sensor Electronic engineering Image processing Image (mathematics) Engineering Telecommunications

Metrics

20
Cited By
3.13
FWCI (Field Weighted Citation Impact)
8
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

CCD and CMOS Imaging Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering

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