Temporal Photoreception for Adaptive Dynamic Range Image Sensing and Encoding

Vladimir Brajovic, Ryohei Miyagawa, and Takeo Kanade
Neural Networks (1998 Special Issue), Vol. 11, No. 7-8, October, 1998, pp. 1149-1158.


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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 exhibits 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.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Computational Sensor Laboratory

Text Reference
Vladimir Brajovic, Ryohei Miyagawa, and Takeo Kanade, "Temporal Photoreception for Adaptive Dynamic Range Image Sensing and Encoding," Neural Networks (1998 Special Issue), 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 (1998 Special Issue)",
   pages = "1149-1158",
   month = "October",
   year = "1998",
   volume = "11",
   number = "7-8",
}