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

Julien N. P. Martel, Lorenz K. Mueller, Stephen J. Carey, Piotr Dudek

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


    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.
    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 - Montreal, Canada
    Duration: 22 May 201625 May 2016


    Conference2016 IEEE International Symposium on Circuits and Systems
    Abbreviated titleISCAS 2016


    Dive into the research topics of 'Parallel HDR Tone Mapping and Auto-focus on a Cellular Processor Array Vision Chip'. Together they form a unique fingerprint.

    Cite this