De-noising of Ultrasound Image using Discrete Wavelet Transform by Symlet Wavelet and Filters

被引：0
|
作者：
Yadav, Ashwani Kumar [1 ]
Roy, R. [1 ]
Kumar, Archek Parveen [1 ]
Kumar, Ch. Sandesh [1 ]
Dhakad, Shailendra Kr. [2 ]
机构：
[1] Amity Univ Rajasthan, ASET, Jaipur, Rajasthan, India
[2] BITS Pilani, Sancoale, Goa, India
来源：
2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2015年
关键词：
Denoising; Symlet; DWT; Filter; PSNR; MSE;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Noise is a major factor in degrading the image quality of various medical images (MRI, CT scan, Ultrasound etc.). Speckle noise is a most common noise presents in all medical images including ultrasound images. For diagnosis purpose it is essential to extract useful data in the original form so transformations are required for this. DWT (Discrete wavelet transform) is the latest and best technique for image denoising. In this work various techniques for removal of speckle noise from medical images based on Wavelet Multiresolution analysis and filtering techniques has been proposed. A comparative analysis of different methods: DWT with different wavelet families (Haar and Symlet) with wiener and median filtering has been presented. Results are compared in terms of PSNR, Mean squared Error (MSE) and processing time.
引用
收藏
页码：1204 / 1208
页数：5
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