Image compression is an important topic in remote sensing applications such as in memory-constrained or low-bandwidth environments. An evaluation of a machine learning compression framework jointly paired with a super resolution network, to restore compressed images, is performed. Image quality and compression metrics are analyzed against existing techniques.


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    Title :

    A Learnable, Super Resolution-Based Framework for Enhancing Compressed Images


    Contributors:


    Publication date :

    2024-07-15


    Size :

    1600007 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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