@article{MAKHILLJEAS201813415533,
    title = {Wavelet Transform Based Satellite Image Enhancement},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {4},
    pages = {854-856},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.854.856},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.854.856},
    author = {S. Alaudeen and},
    keywords = {Satellite image enhancement,DWT,PSNR,technique,entropy,frequency},
    abstract = {In this note, Discrete Wavelet Transform (DWT) based image resolution enhancement technique is
proposed on high frequency sub-band interpolation images. Input images are decomposed by using DWT in
this proposed enhancement technique. DWT decomposes the input image in four dissimilar frequency
sub-bands; High-High (HH), High-Low (HL), Low-High (LH) and Low-Low (LL). Edge information is preserved
by applying gamma correction to LL sub-band only. New resolution enhanced image is generated by using
inverse DWT from high frequency sub-band and low resolution image from input. Entropy, EME and signal to
noise ratio performance is measured using this proposed technique.}
    }