Wavelet and Optimal Requantization Methodology for Lossy Fingerprint Compression
Zahraa Muhsen1, Maher Dababneh2, and Ayman AL Nsour1
1Faculty of Science and Information Technology, Isra Private University, Jordan
2University of Surrey London, UK
1Faculty of Science and Information Technology, Isra Private University, Jordan
2University of Surrey London, UK
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.
Received March 26, 2009; accepted November 5, 2009