scholarly journals BEMD Based Ultrasound Image Speckle Reduction Technique Using Pixel-Wise Wiener Filtering

2021 ◽  
Vol 19 (2) ◽  
Author(s):  
Bhawna Gupta ◽  
Vineet Khandelwal
Keyword(s):  
Ultrasound Image ◽  
Reduction Technique ◽  
Wiener Filtering ◽  
Speckle Reduction

History compounding: a novel speckle reduction technique for OCT guided cochleostomy

2013 ◽  
Author(s):  
Yaokun Zhang ◽  
Tom Pfeiffer ◽  
Wolfgang Wieser ◽  
Marcel Weller ◽  
Robert Huber ◽  
...  
Keyword(s):  
Reduction Technique ◽  
Speckle Reduction

Adaptive speckle reduction algorithm for ultrasound image based on SUSAN diffusion

2013 ◽  
Vol 26 (4) ◽  
pp. 331-337
Author(s):  
Yugui Xu ◽  
Minfen Shen ◽  
Qiong Zhang ◽  
Ruoyu Fang
Keyword(s):  
Ultrasound Image ◽  
Speckle Reduction ◽  
Reduction Algorithm

scholarly journals Novel image enhancement approaches for despeckling in ultrasound images for fibroid detection in human uterus

2021 ◽  
Vol 11 (1) ◽  
pp. 399-410
Author(s):  
Kaitheri Thacharedath Dilna ◽  
Duraisamy Jude Hemanth
Keyword(s):  
Image Processing ◽  
Signal To Noise Ratio ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Signal To Noise ◽  
Statistical Measures ◽  
Noise Ratio ◽  
Scanned Images

Abstract Ultrasonography is an extensively used medical imaging technique for multiple reasons. It works on the basic theory of echoes from the tissues under consideration. However, the occurrence of signal dependent noise such as speckle destroys utility of ultrasound images. Speckle noise is subject to the composition of image tissue and parameters of image. It reduces the effectiveness of many image processing steps and decreases human perception of fine details form ultrasound images. In many medical image processing methods, despeckling is used as the preprocessing step before segmentation and feature extraction. Many speckle reduction filters are proposed but while combining many techniques some speckle diagnostic information should be preserved. Removal of speckle noise from ultrasound image by preserving edges and added features is a great challenging task in ultrasound image restoration. This paper aims at a comprehensive description and comparison of reduction of speckle noise of ultrasound fibroid image. Many filters are applied on ultrasound scanned images and the performance is marked in terms of some statistical measures. Even though several despeckling filters are there for speckle reduction, all are not good for ultrasound scanned images. A comparison of quality measures such as mean square error, peak signal-to-noise ratio, and signal-to-noise ratio is done in ultrasound images in despeckling.

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