Labview用DWT去噪模糊的生物特征图像

Q4 Computer Science

International Journal of Computer Science and Applications Pub Date : 2014-01-01 DOI:10.5121/IJCSA.2014.4301

Fadhil A. Ali

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引用次数: 1

摘要

本文提出了一种生物特征模糊图像(指纹)的去噪方法，并利用LabVIEW应用程序对其进行了研究。本工作提出了一种利用离散小波变换(DWT)将图像分成两部分的算法，这将提高大尺寸生物特征图像的处理速度。这项工作包括两项任务;首先设计LabVIEW系统，计算并给出近似系数，使图像的模糊系数根据所提出的算法减小到最小。第二步，根据贝叶斯收缩估计方法计算回归系数，去除图像噪声。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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LABVIEW WITH DWT FOR DENOISING THE BLURRED BIOMETRIC IMAGES

In this paper, biometric blurred image(fingerprint) denoising are presented a nd investigated by using LabVIEW applications , It is blurred and corrupted with Gaussian noise. This work is proposed algorithm that has used a discrete wavelet transform (DWT) to divide the image into two parts, this will be increasing the manipulation speed of biometric images that are of the big sizes.This work has included two tasks ; the first designs the LabVIEW system to calculate and present the approximation coefficients, by which the image's blur factor reduced to minimum value accord ing to the proposed algorithm. The second task removes the image's noise by calculated the regression coefficients according to BayesianShrinkage estimation method.

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International Journal of Computer Science and Applications Computer Science-Computer Science Applications

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期刊介绍： IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.