Phase Insensitive Homomorphic Image Processing for Speckle Reduction

1996 ◽  
Vol 18 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Y Chen
1995 ◽  
Vol 98 (5) ◽  
pp. 2875-2875
Author(s):  
Yan Chen ◽  
Shira L. Broschat ◽  
Patrick J. Flynn

1996 ◽  
Vol 18 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Yan Chen ◽  
Shira L. Broschat ◽  
Patrick J. Flynn

Speckle appears in all conventional ultrasound images and is caused by the use of a phase-sensitive transducer. Speckle is an undesirable property as it can mask small but perhaps diagnostically significant image features. In this paper a homomorphic, hybrid nonlinear processing method, based on cancellation of scattering interference, is developed and examined. Experiments with synthetic and real ultrasound imagery show that the proposed method improves the contrast-to-noise ratio in both lesion and cyst areas and preserves edge clarity.


Author(s):  
David William Honorio Araujo da Silva ◽  
Hanes Barbosa Marques de Oliveira ◽  
Edward Chow ◽  
Bryan Sosa Barillas ◽  
Carlos Paz de Araujo

2021 ◽  
Vol 11 (1) ◽  
pp. 399-410
Author(s):  
Kaitheri Thacharedath Dilna ◽  
Duraisamy Jude Hemanth

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.


1982 ◽  
Vol 7 (8) ◽  
pp. 371 ◽  
Author(s):  
Mohammad A. Karim ◽  
Hua-Kuang Liu

2019 ◽  
Vol 78 (15) ◽  
pp. 21585-21611 ◽  
Author(s):  
Zeinab F. Elsharkawy ◽  
Safey A. S. Abdelwahab ◽  
Fathi E. Abd El-Samie ◽  
Moawad Dessouky ◽  
Sayed Elaraby

Author(s):  
V N Krouglov ◽  
A G Gruh ◽  
A L Gapak ◽  
I Khurelchuluun

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