Super-resolution reconstruction is the process of reconstructing a high-resolution image from multiple low-resolution images. Most super-resolution reconstruction methods neglect camera response function, exposure time, white balancing, and external illumination changes. In this paper, we show how to extend traditional super-resolution reconstruction methods to handle these factors. We provide formulations for several different super-resolution reconstruction approaches. Experimental results are also included.


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    Title :

    Image acquisition modeling for super-resolution reconstruction


    Contributors:


    Publication date :

    2005-01-01


    Size :

    561189 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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