Temporal Photoreception for Adaptive Dynamic Range Image Sensing and Encoding
V. Brajovic, R. Miyagawa, and T. Kanade
Neural Networks, Vol. 11, No. 7-8, October, 1998, pp. 1149-1158.

Abstract

We have implemented two analog VLSI computational sensors for sensing and encoding high dynamic range images by exploiting temporal dimension of photoreception.  The first sensor is a multi-integration time photoreceptor that automatically adapts to use different integration periods depending on light intensity.  It exibits a dynamic range 128 times larger than that of a single integration period photoreceptor, approximately 1:128,000.  The second sensor is an intensity-to-time processing paradigm that is based on the notion that stronger stimuli elicit responses before weaker ones.  The paradigm sorts pixels of sensed images by their intensities, thus achieving information-theoretic optimal encoding of images.  It handles dynamic range of approximately 1:1,000,000.  Both implementations can operate at standard video rate of 30 frames/sec.

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Text Reference

V. Brajovic, R. Miyagawa, and T. Kanade, "Temporal Photoreception for Adaptive Dynamic Range Image Sensing and Encoding," Neural Networks, Vol. 11, No. 7-8, October, 1998, pp. 1149-1158.

BibTeX Reference

@article{Brajovic_1998_486,
author = "Vladimir Brajovic and Ryohei Miyagawa and Takeo Kanade",
title = "Temporal Photoreception for Adaptive Dynamic Range Image Sensing and Encoding",
journal = "Neural Networks",
month = "October",
year = "1998",
volume = "11",
number = "7-8",
pages = "1149-1158"
}