A map estimation framework for HDR video synthesis

Yuelong Li, Chul Lee, Vishal Monga

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

    4 Scopus citations

    Abstract

    High dynamic range (HDR) image synthesis from multiple low dynamic range (LDR) exposures continues to be a topic of great interest. The extension to HDR video comprises a stiff challenge due to significant motion. In particular, loss of data due to poor exposures introduces great difficulty in exact motion estimation, and under such circumstances conventional optical flow calculation techniques usually fail. We propose a maximum a posterior (MAP) estimation framework for HDR video synthesis algorithm free of explicit optical flow calculation. We formulate HDR video synthesis as a MAP estimation problem, which subsequently can be reduced to an optimization problem based on meaningful statistical assumptions on foreground and background regions of the input video. In the background regions the underlying scenes are static, while in the foreground regions motion information is captured implicitly by a modified 3D steering kernel regression (3D SKR) approach. Solution to the optimization problem provides us with temporally coherent HDR video sequences without noticeable artifacts. Experimental results on challenging LDR video sets demonstrate that our proposed algorithm can achieve HDR video quality that is competitive with or better than state of the art alternatives.

    Original languageEnglish (US)
    Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
    PublisherIEEE Computer Society
    Pages2219-2223
    Number of pages5
    ISBN (Electronic)9781479983391
    DOIs
    StatePublished - Dec 9 2015
    EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
    Duration: Sep 27 2015Sep 30 2015

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    Volume2015-December
    ISSN (Print)1522-4880

    Other

    OtherIEEE International Conference on Image Processing, ICIP 2015
    CountryCanada
    CityQuebec City
    Period9/27/159/30/15

    All Science Journal Classification (ASJC) codes

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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