A new approach to sensor fusion and enhancement is presented. The retinex image enhancement algorithm is used to jointly enhance and fuse data from long wave infrared, short wave infrared and visible wavelength sensors. This joint optimization results in fused data which contains more information than any of the individual data streams. This is especially true in turbid weather conditions, where the long wave infrared sensor would conventionally be the only source of usable information. However, the retinex algorithm can be used to pull out the details from the other data streams as well, resulting in greater overall information. The fusion uses the multiscale nature of the algorithm to both enhance and weight the contributions of the different data streams forming a single output data stream.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multisensor fusion and enhancement using the Retinex image enhancement algorithm


    Contributors:

    Conference:

    Visual Information Processing XI ; 2002 ; Orlando,FL,United States


    Published in:

    Publication date :

    2002-07-30





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A multi-scale retinex algorithm for image enhancement

    Yuehu Liu, / Yuanqi Su, / Yunfeng Zhu, et al. | IEEE | 2005


    Retinex processing for automatic image enhancement

    Rahman, Z.-u. / Jobson, D. J. / Woodell, G. A. | British Library Online Contents | 2004


    Retinex processing for automatic image enhancement

    Rahman, Zia-ur / Jobson, Daniel J. / Woodell, Glenn A. | SPIE | 2002


    New retinex model-based infrared image enhancement

    Trongtirakul, Thaweesak / Agaian, Sos | British Library Conference Proceedings | 2023


    HALO: a reconfigurable image enhancement and multisensor fusion system

    Wu, F. / Hickman, D. L. / Parker, Steve J. | SPIE | 2014