NOISE SUPPRESSION OF RECEIVER FUNCTIONS USING CURVELET TRANSFORM

2016 ◽  
Vol 59 (2) ◽  
pp. 125-138
Author(s):  
QI Shao-Hua ◽  
LIU Qi-Yuan ◽  
CHEN Jiu-Hui ◽  
GUO Biao
Keyword(s):  
Noise Suppression ◽  
Curvelet Transform ◽  
Receiver Functions

Noise suppression based on a fast discrete curvelet transform

2010 ◽  
Vol 7 (1) ◽  
pp. 105-112 ◽  
Author(s):  
Zhi-yu Zhang ◽  
Xiao-dan Zhang ◽  
Hai-yan Yu ◽  
Xue-hui Pan
Keyword(s):  
Noise Suppression ◽  
Curvelet Transform ◽  
Fast Discrete Curvelet Transform

scholarly journals Curvelet Denoising with Improved Thresholds for Application on Ultrasound Images

2013 ◽  
pp. 156-161
Author(s):  
Tajinder Kaur ◽  
Dinesh Kumar ◽  
Ekta Walia ◽  
Manjit Sandhu
Keyword(s):  
Medical Image ◽  
Noise Suppression ◽  
Acoustic Noise ◽  
Medical Image Processing ◽  
Curvelet Transform ◽  
Speckle Noise ◽  
Ultrasound Images ◽  
Challenging Problem ◽  
Effective Suppression ◽  
Ultrasonic Images

In medical image processing, image denoising has become a very essential exercise all through the diagnose. Negotiation between the preservation of useful diagnostic information and noise suppression must be treasured in medical images. In case of ultrasonic images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. Many denoising techniques have been proposed for effective suppression of speckle noise. Removing noise from the original image or signal is still a challenging problem for researchers. In this paper, a Curvelet transform based denoising with improved thresholds is proposed for ultrasound images.

Blended noise suppression using a hybrid median filter, normal moveout and complex curvelet transform approach

2020 ◽  
Vol 64 (2) ◽  
pp. 241-254
Author(s):  
Lieqian Dong ◽  
Changhui Wang ◽  
Mugang Zhang ◽  
Deying Wang ◽  
Xiaofeng Liang
Keyword(s):  
Noise Suppression ◽  
Median Filter ◽  
Curvelet Transform

scholarly journals The application of curvelet transform in noise suppression of airbornemagnetic data

2017 ◽  
Author(s):  
Hailong Sun ◽  
Hongye Wang ◽  
Xin Chen ◽  
Wei Zheng
Keyword(s):  
Noise Suppression ◽  
Curvelet Transform

Endogenous Noise Suppression During Covert Orienting

2000 ◽  
Author(s):  
Edward Awh ◽  
John Serences ◽  
Kelsey Libner ◽  
Michi Matsukura
Keyword(s):  
Noise Suppression ◽  
Covert Orienting
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