@article{1867,
  author = {Tanveer Sultana},
  title = {Image Compression Technique WDR and EZW for Different Wavelet Codes},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2015},
  volume = {6},
  number = {2},
  doi = {},
  url = {http://www.dline.info/jmpt/fulltext/v6n2/v6n2_2.pdf},
  abstract = {This paper represents the wavelet techniques used for compression of gray scale and true color images. An
image compression method is applied on the EZW and WDR. These techniques are more efficient and provide a better
quality in the image. In compression, wavelets have shown a good adaptability to a wide range of data, while being
reasonable complexity. The above techniques have been successfully used in many applications. The techniques are
compared by using the performance parameters PSNR and MSE has been successfully implemented to provide high
compression rates maintaining ratio can be reached to good quality of the image with different level wavelet codes.
The objective of this paper is to implement the concept of wavelet based image compression to gray scale images using
different techniques. The techniques involved in the comparison process of EZW and WDR.},
}