Title of article :
Wavelet and Optimal Requantization Methodology for Lossy Fingerprint Compression
Author/Authors :
Muhsen, Zahraa Isra Private University - Faculty of Science and Information Technology, Jordan , Dababneh, Maher University of Surrey London, UK , Al Nsour, Ayman Isra Private University - Faculty of Science and Information Technology, Jordan
Abstract :
Re-quantization is a key technology for reducing the bit rate of compressed data. This reduction of the bit rate; and in certain cases may result in signal quality degradation. Therefore the proposed techniques used 9/7 wavelet transform before optimal re-quantization and finally, the output stream of coding symbols is entropy coded by lossless entropy coder; run-length encoding. Simulation results show that a better low Bit Rate has been obtained compared with other different techniques
Keywords :
Software engineering education , reflective learning and teaching , vector quantization , wavelet , 9 , 7 filter , general VQ , fingerprint , and optimal VQ
Journal title :
The International Arab Journal of Information Technology (IAJIT)
Journal title :
The International Arab Journal of Information Technology (IAJIT)
