@article{2428,
  author = {Khaled Sahnoun},
  title = {Satellite Image Compression Technique Using Noise Bit Removal and Discrete Wavelet Transform},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2018},
  volume = {9},
  number = {1},
  doi = {},
  url = {http://www.dline.info/jmpt/fulltext/v9n1/jmptv9n1_1.pdf},
  abstract = {A feature of satellite images is the presence of noise, where this noise often requires preprocessing of the images
by a denoising method adapted prior to their compression, storage and transmission. In this work to improve the compression
scheme, we are interested in image compression by discarding noisy bits from the satellite image and discrete wavelet
transform (DWT). This method was tested on various satellite images; this type of compression has allowed us to determine the
quality of the reconstructed images (PSNR) and the compression ratio (CR) according to the corresponding of denoising
method. A comparative study was conducted to determine the methods leading to the best possible results.},
}