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

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

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


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.

Bibliographical metadata

Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems, ISCAS 2016
ISBN (Electronic)978-1-4799-5341-7
Publication statusPublished - May 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Event duration: 22 May 201625 May 2016


Conference2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016