Image Denoising Based on Wavelet Transform using Visu Thresholding Technique

被引：9
|
作者：
Koranga, Pushpa [1 ]
Singh, Garima [1 ]
Verma, Dikendra [1 ]
Chaube, Shshank [2 ]
Kumar, Anuj [2 ]
Pant, Sangeeta [2 ]
机构：
[1] Graph Era Hill Univ, Dept Elect & Commun Engn, Bhimtal Campus, Naini Tal, Uttarakhand, India
[2] Univ Petr & Energy Studies, Dept Math, Dehra Dun, Uttarakhand, India
来源：
INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES | 2018年 / 3卷 / 04期
关键词：
Wavelet transform; DWT; Hard threshold; Soft threshold;
D O I：
10.33889/IJMEMS.2018.3.4-032
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The image often contains noises due to several factors such as a problem in devices or due to an environmental problem etc. Noise is mainly undesired information, which degrades the quality of the picture. Therefore, image denoising method is adopted to remove the noises from the degraded image which in turn improve the quality of the image. In this paper, image denoising has been done by wavelet transform using Visu thresholding techniques for different wavelet families. PSNR (Peak signal to noise ratio) and RMSE (Root Mean Square Error) value is also calculated for different wavelet families.
引用
收藏
页码：444 / 449
页数：6
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