@article{MAKHILLJEAS2017121614748,
    title = {Framelet Transform based Satellite Image Enhancement},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {16},
    pages = {4169-4171},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.4169.4171},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.4169.4171},
    author = {N.},
    keywords = {Satellite image,enhancement,framelet transform,PSNR,high-frequency,database},
    abstract = {The drawback of losing high-frequency components suffers the resolution enhancement. In this
project, the wavelet domain based image resolution enhancement technique using Framelet Transform (FT)
proposed for resolution enhancement of the satellite images. Input images decomposed by using FT in this
proposed enhancement method. Inverse FT is used to generate a new resolution enhanced image from the
interpolation of high-frequency subband images and low-resolution image from the input. Intermediate stage
has proposed for estimating the high-frequency subbands to achieve a sharper image. It has tested on
benchmark images from the public database. Peak Signal to Noise Ratio (PSNR) shows the preeminence of the
proposed technique over the expected and state-of-art image resolution enhancement technologies.}
    }