[1]张小燕,吐尔洪江·阿布都克力木. 小波变换的阈值图像去噪算法改进[J].计算机技术与发展,2017,27(03):81-84.
　ZHANG Xiao-yan,Turghunjan ABDUKIRIM TURKI. Improvement of Threshold Image Denoising Algorithm with Wavelet Transform[J].,2017,27(03):81-84.
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 小波变换的阈值图像去噪算法改进()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年03期
页码:
81-84
栏目:
智能、算法、系统工程
出版日期:
2017-03-10

文章信息/Info

Title:
 Improvement of Threshold Image Denoising Algorithm with Wavelet Transform
文章编号:
1673-629X（2017)03-0081-04
作者:
 张小燕；吐尔洪江·阿布都克力木
 新疆师范大学 数学科学学院
Author(s):
 ZHANG Xiao-yan; Turghunjan ABDUKIRIM TURKI
关键词:
 ; 小波变换; 阈值函数; 图像去噪; 均方差; 峰值信噪比
Keywords:
 ; wavelet transform; threshold function; image denoising; MSE; PSNR
分类号:
TP301.6
文献标志码:
A
摘要:
 通过分析研究发现D.L.Donoho提出的小波阈值去噪方法,以及文中提及的已构造出的小波阈值函数在图像去噪方面仍存在问题.为了进一步改善这些问题,综合典型的小波阈值函数的优点与一些改进方法,提出一种改进的新阈值函数.该阈值函数不仅在阈值处连续,而且含有参数,可通过调整参数来调节阈值化小波系数和原始小波系数之间的恒定偏差,同时其还具有可微性便于计算.为了突出表现构造的新阈值函数的优越性,通过仿真实验对文中提出的几种小波去噪方法的均方差(MSE)和峰值信噪比(PSNR)进行对比.实验结果表明,利用新构造的阈值函数去噪,去噪后的图像无论是视觉效果还是在均方差、峰值信噪比等的性能上都比传统的软、硬阈值和已有的阈值去噪效果好.
Abstract:
 There are many problems for wavelet threshold denoising method proposed by D. L. Donoho and constructed wavelet threshold function mentioned in this paper in image denoising through analysis and research. In order to improve these problems,a new improved threshold function has been presented which integrates the advantages of classical wavelet threshold function and other improved methods. This function is not only continuous at a specific threshold, but also involves parameters. Thus, constant deviation between threshold wavelet coefficients and original wavelet ones can be adjusted by regulating the parameters. Meanwhile,it is of differentiability convenient for calculations. In order to highlight the advantages of the threshold function constructed,Mean Square Errors ( MES) and Peak Signal to Noise Ratios ( PSNR) of several wavelet denoising methods are compared with proposed method in simulation experiment. Results of the experiment show that the images denoised with new threshold function are better than those with traditional soft and hard threshold func-tions and existent threshold functions,either in visual effect or performance parameters such as MES and/or PSNR.

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更新日期/Last Update: 2017-05-12