Medical image scanners produce digitized information at different spatial resolutions, and this affects the perceived image quality after image compression. Quality of decompressed medical images is assessed by the extent to which diagnostic information is affected by compression, and the medical interpretation requires participation of medical experts in observer studies. We undertook a study to investigate the effect of resolution from digitization on medical image compression, in the context of enabling image transmission using low to moderate bandwidth telecommunication facilities. The test material consisted of a series of adult chest radiographs containing multiple subtle abnormalities. In this paper, the effects of sampling resolution and frequency component quantization on image quality are compared, and issues for further investigation in general image compression are discussed.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Relative effects of resolution and quantization on the quality of compressed medical images


    Contributors:
    Sullivan, B.J. (author) / Ansari, R. (author) / Giger, M.L. (author) / MacMahon, H. (author)


    Publication date :

    1994-01-01


    Size :

    379578 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Relative Effects of Resolution and Quantization on the Quality of Compressed Medical Images

    Sullivan, B. J. / Ansari, R. / Giger, M. L. et al. | British Library Conference Proceedings | 1994


    Quality Assessment of Compressed Medical Images

    Joshi, M. A. / Joshi, K. R. / Gupta, A. et al. | British Library Conference Proceedings | 2006



    Super-Resolution of Low-Quality Images Based on Compressed Sensing and Sequence Information

    Zhou, Ruofei / Wang, Gang / Zhao, Donglai et al. | IEEE | 2019


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

    Essig, David / Gnacek, Matthew / Fan, David et al. | IEEE | 2024