In this paper we present a comparison between different approaches to CFA (colour filter array) image encoding. We show different performance offered by a new algorithm based on a vector quantization technique, JPEG-LS, a low complexity encoding standard and classical JPEG. We also show the effects of CFA image encoding on the colour reconstructed images by a typical image generation pipeline. A discussion about the computational complexity and memory requirement of the different encoding approaches is also presented.


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    Title :

    Coding techniques for CFA data images


    Contributors:
    Battiato, S. (author) / Bruna, A. (author) / Buemi, A. (author) / Naccari, F. (author)


    Publication date :

    2003-01-01


    Size :

    378582 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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