The improving of biometric image quality compression using Wavelet and SPIHT coding

被引：0
|
作者：
Bouida, Ahmed [1 ]
Benyahia, Ismahane [1 ]
Beladgham, Mohammed [1 ]
Merit, Khaled [1 ]
机构：
[1] Univ TAHRI Mohammed Bechar, Informat Proc & Telecommun Lab LTIT, Bechar, Algeria
来源：
2018 INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA) | 2018年
关键词：
Image compression; Quality Assessment (IQA); Wavelets; Biometric image;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The important objective of image compression is reducing the quantity of data required by the applying an image encoding. This reduction is needed for transmission or database storage. Our used is based on the Wavelet transform in image compression. It offers ascend to numerous applications in different fields, for example, geophysics, astronomy, media communications, imaging, and video coding. This contribution presents an application in the compression of the biometric image based on the second-generation wavelet with lifting and combined with SPIHT progressive encoder. To study the reliability and performance of these algorithms, we apply them on iris image and use the image quality assessment with full reference (PSNR, MSSIM, VIII and without reference (NIQE, BLIINDS). The obtained results are very interestingly and encouraging.
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页数：6
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