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Hybrid Printing for the Fabrication of Smart Sensors

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Published on: January 31, 2019

A Streaming Motion Magnification Core for Smart Image Sensors.

Cong Shi¹, Gang Luo¹

¹Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA.

IEEE Transactions on Circuits and Systems. II, Express Briefs : a Publication of the IEEE Circuits and Systems Society

|September 12, 2018

Summary

This study introduces a modified Eulerian Video Magnification (EVM) algorithm and a hardware core for smart image sensors. The new design efficiently magnifies subtle motion with reduced hardware requirements and comparable results to the original EVM algorithm.

Keywords:

Laplacian pyramid motion magnification pixel stream processing smart image sensor spatiotemporal filtering

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Area of Science:

Computer Vision
Hardware Acceleration
Signal Processing

Background:

Eulerian Video Magnification (EVM) enables visualization of subtle motions invisible to the naked eye.
Hardware implementation of EVM is challenging due to high memory and computational demands.

Purpose of the Study:

To propose a modified Eulerian Video Magnification (EVM) algorithm optimized for hardware implementation.
To develop a high-performance, cost-effective motion magnification core for smart image sensors.

Main Methods:

A modified EVM algorithm performing pixel-wise temporal bandpass filtering once across scale layers.
A pixel stream processing architecture with pipelined blocks for the motion magnification core.
FPGA-based prototype implementation for real-time processing.

Main Results:

Reduced memory and multiplier requirements compared to the original EVM algorithm.
Achieved processing speeds of up to 90 million pixels per second.
Motion magnification results comparable to the original EVM algorithm running on a PC.

Conclusions:

The modified EVM algorithm and hardware core offer an efficient solution for subtle motion magnification.
The proposed architecture is suitable for integration with common streaming image sensors.
This approach enables higher performance and lower system costs for motion magnification applications.