We consider coding gain and spatial localisation properties of DWT filters for still image compression. A high coding gain, relative to a highly correlated image source model, ensures that slowly varying image areas are coded efficiently. A low spatial width ensures that anomalies such as edges can also be coded efficiently. By considering an image model we design filters that simultaneously exhibit a high coding gain and low spatial width. Several existing filters are also examined. Several filter sets are then compared for image compression using a DWT and a JPEG type quantisation method. The filters with the best spatial width and coding gain properties outperform the other filters at low bit rates, especially with regard to ringing distortion.<>


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    Title :

    Coding gain and spatial localisation properties of discrete wavelet transform filter banks for image coding


    Contributors:


    Publication date :

    1994-01-01


    Size :

    525219 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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