In this paper an edge preserving lossy image coder is presented. An edge image is obtained from the original with a digital image processing module using four different filters: Canny, Sobel, Roberts and Prewitt, then the original image is domain transformed with wavelets or contourlets, and a pixel mapping from original domain to transformed is done. For the compression, the edges points and the approximation image (which determines the compression factor) are selected; finally the image is decompressed in order to observe the reconstruction quality and edge preserving. Additionally, the results obtained from comparisons of error measures between original and decompressed images are shown and finally conclusions about the coder are presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Edge Preserving Lossy Image Compression with Wavelets and Contourlets


    Contributors:


    Publication date :

    2006-09-01


    Size :

    738933 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Denoising one-dimensional signals with curvelets and contourlets

    Moore, Ryan / Ezekiel, Soundararajan / Blasch, Erik | IEEE | 2014


    Lossy dictionary-based image compression method

    Dudek, G. / Borys, P. / Grzywna, Z. J. | British Library Online Contents | 2007


    Data compression with spherical wavelets and wavelets for the image-based relighting

    Wang, Z. / Leung, C. S. / Zhu, Y. S. et al. | British Library Online Contents | 2004


    Adaptively Lossy Image Compression for Onboard Processing

    Goodwill, Justin / Wilson, David / Sabogal, Sebastian et al. | IEEE | 2020


    Lossy to lossless image compression using allpass filters

    Xi Zhang, / Kawai, K. / Yoshikawa, T. et al. | IEEE | 2005