Paper Info
Title
Sparseland model for speckle suppression of B-mode ultrasound images
Abstract
Speckle is a multiplicative noise which is inherent in medical ultrasound images. Speckles contributes high variance between neighboring pixels reducing the visual quality of an image. Suppression of speckle noise significantly improves the diagnostic content present in the image. In this paper, we propose how sparseland model can be used for speckle suppression. The performance of the model is evaluated based on variance to mean ratio of a patch in the filtered image. The algorithm is tested on both software generated images and real time ultrasound images. The proposed algorithm has performed similar to past adaptive speckle suppression filters and seems promising in improving diagnostic content.
Year
DOI
Venue
2015
10.1109/NCC.2015.7084842
NCC
Keywords
Field
DocType
dictionary learning,k-svd,multiplicative noise,sparse representations,speckle,dictionaries,mathematical model,noise
Computer vision,B mode ultrasound,Speckle pattern,Computer science,Software,Pixel,Artificial intelligence,Speckle noise,Ultrasonic imaging,Multiplicative noise,Ultrasound
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
M. Srinivas1323.97
Bharath, R.222.10
Pachamuthu Rajalakshmi37821.86
C. Krishna Mohan412417.83