Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision ChipCitation formats

  • Authors:
  • Julien N. P. Martel
  • Lorenz K. Mueller
  • Stephen J. Carey
  • Piotr Dudek

Standard

Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip. / Martel, Julien N. P.; Mueller, Lorenz K.; Carey, Stephen J.; Dudek, Piotr.

IEEE International Symposium on Circuits and Systems, ISCAS 2016 . 2016. p. 1430-1433.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Martel, JNP, Mueller, LK, Carey, SJ & Dudek, P 2016, Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip. in IEEE International Symposium on Circuits and Systems, ISCAS 2016 . pp. 1430-1433, 2016 IEEE International Symposium on Circuits and Systems, Montreal, Canada, 22/05/16. https://doi.org/10.1109/ISCAS.2016.7527519

APA

Martel, J. N. P., Mueller, L. K., Carey, S. J., & Dudek, P. (2016). Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip. In IEEE International Symposium on Circuits and Systems, ISCAS 2016 (pp. 1430-1433) https://doi.org/10.1109/ISCAS.2016.7527519

Vancouver

Martel JNP, Mueller LK, Carey SJ, Dudek P. Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip. In IEEE International Symposium on Circuits and Systems, ISCAS 2016 . 2016. p. 1430-1433 https://doi.org/10.1109/ISCAS.2016.7527519

Author

Martel, Julien N. P. ; Mueller, Lorenz K. ; Carey, Stephen J. ; Dudek, Piotr. / Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip. IEEE International Symposium on Circuits and Systems, ISCAS 2016 . 2016. pp. 1430-1433

Bibtex

@inproceedings{69625167727b42ad84637206919e5b6d,
title = "Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip",
abstract = "To improve computational efficiency, it may be advantageous to transfer part of the intelligence lying in the core of a system to its sensors. Vision sensors equipped with small programmable processors at each pixel allow us to follow this principle in so-called near-focal plane processing, which is performed on-chip directly where light is being collected. Such devices need then only to communicate relevant pre-processed visual information to other parts of the system. In this work, we demonstrate how two classical problems, namely high dynamic range imaging and auto-focus, can be solved efficiently using two simple parallel algorithms implemented on such a chip. We illustrate with these two examples that embedding uncomplicated algorithms on-chip, directly where information acquisition takes place can replace more complex dedicated post-processing. Adapting data acquisition by bringing processing at the sensor level allows us to explore solutions that would not be feasible in a conventional sensor-ADC-processor pipeline.",
author = "Martel, {Julien N. P.} and Mueller, {Lorenz K.} and Carey, {Stephen J.} and Piotr Dudek",
year = "2016",
month = "5",
doi = "10.1109/ISCAS.2016.7527519",
language = "English",
pages = "1430--1433",
booktitle = "IEEE International Symposium on Circuits and Systems, ISCAS 2016",

}

RIS

TY - GEN

T1 - Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip

AU - Martel, Julien N. P.

AU - Mueller, Lorenz K.

AU - Carey, Stephen J.

AU - Dudek, Piotr

PY - 2016/5

Y1 - 2016/5

N2 - To improve computational efficiency, it may be advantageous to transfer part of the intelligence lying in the core of a system to its sensors. Vision sensors equipped with small programmable processors at each pixel allow us to follow this principle in so-called near-focal plane processing, which is performed on-chip directly where light is being collected. Such devices need then only to communicate relevant pre-processed visual information to other parts of the system. In this work, we demonstrate how two classical problems, namely high dynamic range imaging and auto-focus, can be solved efficiently using two simple parallel algorithms implemented on such a chip. We illustrate with these two examples that embedding uncomplicated algorithms on-chip, directly where information acquisition takes place can replace more complex dedicated post-processing. Adapting data acquisition by bringing processing at the sensor level allows us to explore solutions that would not be feasible in a conventional sensor-ADC-processor pipeline.

AB - To improve computational efficiency, it may be advantageous to transfer part of the intelligence lying in the core of a system to its sensors. Vision sensors equipped with small programmable processors at each pixel allow us to follow this principle in so-called near-focal plane processing, which is performed on-chip directly where light is being collected. Such devices need then only to communicate relevant pre-processed visual information to other parts of the system. In this work, we demonstrate how two classical problems, namely high dynamic range imaging and auto-focus, can be solved efficiently using two simple parallel algorithms implemented on such a chip. We illustrate with these two examples that embedding uncomplicated algorithms on-chip, directly where information acquisition takes place can replace more complex dedicated post-processing. Adapting data acquisition by bringing processing at the sensor level allows us to explore solutions that would not be feasible in a conventional sensor-ADC-processor pipeline.

U2 - 10.1109/ISCAS.2016.7527519

DO - 10.1109/ISCAS.2016.7527519

M3 - Conference contribution

SP - 1430

EP - 1433

BT - IEEE International Symposium on Circuits and Systems, ISCAS 2016

ER -