Event-Based Tone Mapping for Asynchronous Time-Based Image Sensor - Sorbonne Université
Journal Articles Frontiers in Aging Neuroscience Year : 2016

Event-Based Tone Mapping for Asynchronous Time-Based Image Sensor

Camille Chane Simon
Sio-Hoi Ieng
  • Function : Correspondent author
  • PersonId : 989285

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Abstract

The asynchronous time-based neuromorphic image sensor ATIS is an array of autonomously operating pixels able to encode luminance information with an exceptionally high dynamic range (>143 dB). This paper introduces an event-based methodology to display data from this type of event-based imagers, taking into account the large dynamic range and high temporal accuracy that go beyond available mainstream display technologies. We introduce an event-based tone mapping methodology for asynchronously acquired time encoded gray-level data. A global and a local tone mapping operator are proposed. Both are designed to operate on a stream of incoming events rather than on time frame windows. Experimental results on real outdoor scenes are presented to evaluate the performance of the tone mapping operators in terms of quality, temporal stability, adaptation capability, and computational time.
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hal-01369653 , version 1 (21-09-2016)

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Camille Chane Simon, Sio-Hoi Ieng, Christoph Posch, Ryad B. Benosman. Event-Based Tone Mapping for Asynchronous Time-Based Image Sensor. Frontiers in Aging Neuroscience, 2016, 10, pp.391. ⟨10.3389/fnins.2016.00391⟩. ⟨hal-01369653⟩
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