Design of a fully asynchronous image sensor reading system

Darwish, Amani; Rocha, Leandro M. G.; Fesquet, Laurent; Sicard, Gilles

doi:10.1109/dcis.2015.7388583

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…(a) TFS image sensor high level view in [8] (b) Illustration of the verification problem Fig. 2: TFS image sensor reading system architecture described in [8].…”

Section: B the Tfs Pixelmentioning

confidence: 99%

“…This way, the TFS pixel only captures the relevant luminance information and encodes it into a gray level information using its TDC. Thus, the architecture manages temporal redundancies at the pixel level and spatial redundancies at the system level using the readout system presented in [8]. In figure 5, we present different sets of DVS and TFS combinations.…”

Section: A the Hybrid Pixel Matrixmentioning

confidence: 99%

“…An image sensor readout system that does not use arbiters was proposed in [8]. It has been integrated in an event-based image sensor enabling fast acquisition of events and spatial redundancies suppression.…”

Section: Introductionmentioning

confidence: 99%

“…First, we present the operating principle of each pixel we use in our image sensor. Then, through simulation of the Matlab model of the readout system [8], we will list its drawbacks and how our architecture can improve its limitations. Finally, we choose one image sensor architecture out of few others we will suggest.…”

Section: Introductionmentioning

confidence: 99%

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Arbiterless Event-Based Imager Architecture with temporal and spatial redundancies suppression

Akrarai

Margotat

Sicard

et al. 2020

2020 6th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)

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We present a new image sensor architecture that manages spatial and temporal redundancies with an arbiterless readout and a pixel Address-Event Representation (AER) reading system. This frameless image sensor only generates few events over time in order to target an efficient power consumption compared to the commercial CMOS image sensors. Indeed, this image sensor does not generate anymore frames but events only when a change appears in the scene. Moreover, the event throughput depends on the luminance variations of the recorded scene. This means that more activity in the scene will generate more events and vice versa. Collecting events over a period of time will define an image. It is noticeable that, at each instant, the generated events characterize the zone of interest (the active area) of the scene. Consequently, processing such images should require less computing, communication and energy.

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“…(a) TFS image sensor high level view in [8] (b) Illustration of the verification problem Fig. 2: TFS image sensor reading system architecture described in [8].…”

Section: B the Tfs Pixelmentioning

confidence: 99%

Section: A the Hybrid Pixel Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations