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Implementation of the 5/3 Lifting 2D Discrete Wavelet Transform
Jinal M. Patel,  Ketki C. Pathak
The Discrete Wavelet Transform (DWT) plays a major role in the field of signal analysis, computer vision, object recognition, image compression and video compression standard. The advantage of DWT over other traditional transformations is that it performs multi resolution analysis of signals with localization both in time and frequency. A majority of today’s Internet bandwidth is estimated to be used for images and video. Recent multimedia applications for handheld and portable devices place a limit on the available wireless bandwidth. Wavelet based techniques such as JPEG2000 for image compression has a lot more to offer than conventional methods in terms of compression ratio. Storage of image requires higher bandwidth on the smaller devices; also image transmission requires higher bandwidth. The goal of this work is to implement the architecture of Discrete Wavelet Transform using lifting scheme for image compression applications in Xilinx and MATLAB software and then to compare the results.
Unique Identification Number - IJEDR1403011Page Number(s) - 2953-2957Pubished in - Volume 2 | Issue 3 | Sept 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Jinal M. Patel,  Ketki C. Pathak,   "Implementation of the 5/3 Lifting 2D Discrete Wavelet Transform"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 3, pp.2953-2957, Sept 2014, Available at :http://www.ijedr.org/papers/IJEDR1403011.pdf