Low-visibility conditions for navigation of vehicles are a frequent occurrence. Driving at night, in blizzards, in sand storms, or in fog form an obvious set of challenging conditions. Remote operation of unmanned vehicles through a camera image provides a similar difficulty. Gathering intelligence from satellite imagery can similarly benefit from improved visibility. Advanced image processing techniques (e.g., contrast enhancement or tone mapping) purport to improve the perceptual quality of images that lack the contrast or color depth perceived by the human visual system (HVS). Applying such an algorithm intelligently to these low-visibility conditions gives us the ability to provide a perceptually usable assisted-vision system.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Image Processing for Human Understanding in Low-visibility


    Beteiligte:
    M. A. Livingston (Autor:in) / C. R. Garrett (Autor:in) / Z. Ai (Autor:in)

    Erscheinungsdatum :

    2011


    Format / Umfang :

    11 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Visibility and processing

    REYNOLDS, R. | AIAA | 1981


    STAR SENSOR IMAGE PROCESSING FOR ORBITING OBJECTS DETECTION (SPOT): VISIBILITY ANALYSIS

    Schiattarella, Vincenzo / Curti, Fabio / Spiller, Dario et al. | TIBKAT | 2020


    Fundamental understanding of vision in fog/low visibility conditions

    Shastry, Abhishek K. / Stefanescu, Ramona | AIAA | 2024


    Visibility

    Engineering Index Backfile | 1939


    Wavelet based image visibility enhancement of IR images

    Jiang, Qin / Owechko, Yuri / Blanton, Brendan | SPIE | 2016