Speckle Reducing Filtering for Ultrasound images

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-37 Number-5
Year of Publication : 2016
Authors : Anjali Kapoor, Taranjeet Singh
DOI :  10.14445/22315381/IJETT-V37P249

Citation 

Anjali Kapoor, Taranjeet Singh"Speckle Reducing Filtering for Ultrasound images", International Journal of Engineering Trends and Technology (IJETT), V37(5),283-285 July 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Speckle noise is undesired result which appear during the image formation process in that is most typically known to occur in the coherent imaging systems for example ultrasound imaging, sonar, lasers, synthetic aperture radar and many more. So the presence of speckle in ultrasound imaging system results in decrease in quality of image and it become quite difficult for human to diagnose and interpret the change with naked eyes. Thus in case of analysis of ultrasound images speckle reduction is done to reduce unwanted noise in image. Till now numerous methods are proposed for speckle reduction or speckle suppression. So our approach is to brief the speckle noise reduction model by using various speckle reduction filters. Different filters have different behavior as some keep the content in the image while others provide the smoothening process. Similarly some are better for edge detection and can be applied for tumor segmentation etc. In the end, we have provided some commonly used filter assessment techniques.

 References

[1] J.W. Goodman, Some fundamental properties of speckle, J. Opt. Soc. Am. 66 (1976) 1145-1149.
[2] C.B. Burckhardt, Speckle in ultrasound b-mode scans, IEEE Trans. Sonic Ultrason. SU-2 5 (1 978) 1-6.
[3] Y. Yu, St Aeon, “Edge detection in ultrasound imagery using the instantaneous coefficient of variation,” IEEE Trans. Image Process. 13 (2004) 1640-1655.
[4] V.S. Frost, JA Stiles, K.S. Shanmugan, J. Holtzman,” A model for radar images and its application to adaptive digital filtering of multiplicative noise, “ IEEE Trans. Pattern Analyses Mack Intel PAMI-4 (1982) 157-166.
[5] D.T. Kuan, A.Sawchuk, T. Strand, P. Chavel , “Adaptive restoration of images with speckle, “IEEE Trans. Acoust. Speech Signal Process. ASSP-35 (1987) 373-383.
[6] Jain, A.K.: Fundamentals of Digital Image Processing. PHI, India (2005).

Keywords
frost, kuan , speckle noise, ultrasound, , weiner, wavelets.