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A VLSI architecture for lifting-base...

Zhu, Tao.

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A VLSI architecture for lifting-based wavelet packet transform in fingerprint image compression.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A VLSI architecture for lifting-based wavelet packet transform in fingerprint image compression./
Author:	Zhu, Tao.
Description:	105 p.
Notes:	Source: Masters Abstracts International, Volume: 42-04, page: 1351.
Contained By:	Masters Abstracts International42-04.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1417747

A VLSI architecture for lifting-based wavelet packet transform in fingerprint image compression.
Zhu, Tao.

A VLSI architecture for lifting-based wavelet packet transform in fingerprint image compression. - 105 p.

Source: Masters Abstracts International, Volume: 42-04, page: 1351.

Thesis (M.S.E.)--University of Nevada, Las Vegas, 2003.

FBI uses a technique called Wavelet Scalar Quantization (WSQ), a wavelet packet transform (WPT) based method, to compress its fingerprint images. Though many VLSI architectures have been proposed for wavelet transform in the literature, it is not the case for the WPT. In this thesis, a VLSI architecture capable of computing the WPT is presented for application of WSQ. In the proposed architecture, Lifting Scheme (LS) is used to generate wavelets instead of the traditional convolution filter-bank (FB) specified in original standard. A comparative study between LS and FB shows that quality of images transformed by LS is completely acceptable (with 30dB&sim;40dB PSNR at a target bit rate of 0.75dpp) while fewer operations required. In particular, to compare with FB, the hardware consumption, for our WSQ application, is reduced to half due to the LS. Moreover, this architecture can be easily configured to compute any required WPT application.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

A VLSI architecture for lifting-based wavelet packet transform in fingerprint image compression.
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035 $a (UnM)AAI1417747
035 $a AAI1417747
040 $a UnM $c UnM
100 1 $a Zhu, Tao. $3 1951895
245 1 2 $a A VLSI architecture for lifting-based wavelet packet transform in fingerprint image compression.
300 $a 105 p.
500 $a Source: Masters Abstracts International, Volume: 42-04, page: 1351.
500 $a Chair: Shahram Latifi.
502 $a Thesis (M.S.E.)--University of Nevada, Las Vegas, 2003.
520 $a FBI uses a technique called Wavelet Scalar Quantization (WSQ), a wavelet packet transform (WPT) based method, to compress its fingerprint images. Though many VLSI architectures have been proposed for wavelet transform in the literature, it is not the case for the WPT. In this thesis, a VLSI architecture capable of computing the WPT is presented for application of WSQ. In the proposed architecture, Lifting Scheme (LS) is used to generate wavelets instead of the traditional convolution filter-bank (FB) specified in original standard. A comparative study between LS and FB shows that quality of images transformed by LS is completely acceptable (with 30dB&sim;40dB PSNR at a target bit rate of 0.75dpp) while fewer operations required. In particular, to compare with FB, the hardware consumption, for our WSQ application, is reduced to half due to the LS. Moreover, this architecture can be easily configured to compute any required WPT application.
590 $a School code: 0506.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Computer Science. $3 626642
690 $a 0544
690 $a 0984
710 2 0 $a University of Nevada, Las Vegas. $3 1017627
773 0 $t Masters Abstracts International $g 42-04.
790 1 0 $a Latifi, Shahram, $e advisor
790 $a 0506
791 $a M.S.E.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1417747