Use of motion information in super-resolution mosaicing

P. Krämer, O. Hadar, J. Benois-Pineau, J. P. Domenger

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

    5 Scopus citations

    Abstract

    In this paper, we present a super-resolution (SR) method based on iterative backprojections. Motion information is used for the synthesis of the restoration filter in the SR method. Both, the blur estimation and the choice of the degradation model, are based on estimated global motion. The method is applied to highly under-sampled images such as DC images ofMPEG compressed video and medical magnetic resonance (MR) images. Results of the comparison of our blur model with some common blur models are encouraging.

    Original languageEnglish
    Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
    Pages357-360
    Number of pages4
    DOIs
    StatePublished - 1 Dec 2006
    Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
    Duration: 8 Oct 200611 Oct 2006

    Publication series

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

    Conference

    Conference2006 IEEE International Conference on Image Processing, ICIP 2006
    Country/TerritoryUnited States
    CityAtlanta, GA
    Period8/10/0611/10/06

    Keywords

    • Blur estimation
    • Super-resolution

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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