This paper presents an algorithm for a dense computation of the difference in blur between two images. The two images are acquired by varying the intrinsic parameters of the camera. The image formation system is assumed to be passive. Estimation of depth from the blur difference is straightforward. The algorithm is based on a local image decomposition technique using the Hermite polynomial basis. We show that any coefficient of the Hermite polynomial computed using the more blurred image is a function of the partial derivatives of the other image and the blur difference. Hence, the blur difference can be computed by resolving a system of equations. All computations required are local and carried out in the spatial domain. An algorithm is presented for estimation of the blur in 1D and 2D cases and its behavior is studied for constant images, step edges, line edges and junctions. The algorithm is tested using synthetic and real images. The results obtained are very encouraging.


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    Title :

    Passive depth from defocus using a spatial domain approach


    Contributors:
    Ziou, D. (author)


    Publication date :

    1998-01-01


    Size :

    717509 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Passive Depth from Defocus using a Spatial Domain Approach

    Ziou, D. / IEEE; Computer Society | British Library Conference Proceedings | 1998


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    Depth from Defocus Estimation in Spatial Domain

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    Rational Filters for Passive Depth from Defocus

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