@article{MAKHILLIJSC201510621313,
    title = {Image Compression Subband Method},
    journal = {International Journal of Soft Computing},
    volume = {10},
    number = {6},
    pages = {442-447},
    year = {2015},
    issn = {1816-9503},
    doi = {ijscomp.2015.442.447},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2015.442.447},
    author = {Evgeniy G.,Igor S.,Andrey A. and},
    keywords = {Image,subarea of spatial frequencies,subband components,information subareas,decomposition},
    abstract = {In this study, we present a image compression method based on the their subband decomposition on the eigenvectors of the subband matrix which achieves high compression ratios for a particular class of images. Some results of computing experiments are given.}
    }