Analog VLSI and neural systems
Analog VLSI and neural systems
Neuromorphic systems engineering: neural networks in silicon
Neuromorphic systems engineering: neural networks in silicon
Visual Sensor with Resolution Enhancement by Mechanical Vibrations
ARVLSI '01 Proceedings of the 2001 Conference on Advanced Research in VLSI
The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Simple Neural Network for Enhancement of Image Acuity by Fixational Instability
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Image and Vision Computing
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The resolution limit of visual sensors due to finite pixel spacing can be overcome by applying continuous low-amplitude vibrations to the image—or taking advantage of existing vibrations in the environment. Thereby, spatial intensity gradients turn into temporal intensity fluctuations which can be detected and processed by every pixel independently from the others. This approach enhances resolution and virtually eliminates fixed-pattern noise. A visual sensing microsystem taking advantage of this principle is described. It incorporates a custom analog integrated circuit implementing an array of 32 by 32 pixels with local temporal signal processing. Another key component is a resonant mechanical device producing low-amplitude image scanning movements powered by environmental vibrations.