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Wavelet transform - based still image compression technology and its applications
Author: YuHongBin
Tutor: WangJianGuo
School: University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Wavelet Transform JPEG 2000 Wavelet basis Quantify
CLC: TN919.8
Type: Master's thesis
Year: 2002
Downloads: 254
Quote: 1
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Abstract
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In recent years, mobile communications and Inernet has been rapid development , people are no longer satisfied with limited to voice and data communications , multimedia communication has become a hot research topic in the current . From the communication system point of view , the image compression is a source coding techniques . Still image compression technology is an important part of multimedia communication systems . The JPEG success is obvious to all , spread on the Internet most of the pictures in the JPEG format . JPEG The disadvantage , however , is obvious , it is not suitable for low - bit-rate applications . This is largely due to JPEG using DCT 's sake . DCT has good energy concentration and de- correlation , however it is the lack of time-frequency localized performance . The wavelet transform a transformation as a better way to get people's attention. Wavelet transform fixed basis functions , the choice of a wavelet basis , as well as how effectively organizations wavelet image coefficients based on wavelet transform image compression algorithms have a great impact . JPEG 2000 is the next generation still image compression based on wavelet transform international standards. And JPEG and JPEG 2000 compression ratio is higher (typically 30% higher than the JPEG or so) , the reconstructed image of better quality ( low bit rate does not appear mosaic ) , the application surface is also wider ( including expansion part this type of remote sensing image and SAR image applications ) . Therefore, during the still image compression technology research JPEG 2000 algorithm employed is an important guiding direction . Systematic introduction of JPEG 2000 , this part of the work is mainly the result of reading JPEG2000 standard draft , while the actual JPEG 2000 file . Understanding of the algorithm based on two important factors that affect the compression effect that the choice of wavelet basis and quantify discussed and experimental results are given . The final written using Visual C image compression structure and implementation of the program , and in the case of low bit rate and JPEG program , you can see the compressed image based on wavelet technology can indeed overcome JPEG exist .
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