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Study of Single Scale Spatial Adaptive Filters, Diffusion Filters and Multi Scale Filters for Speckle Noise Suppression
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 135 - Number 10 |
| Year of Publication: 2016 |
| Authors: Gagandeep Kaur, Bhupinder Singh |
10.5120/ijca2016908517
|
Gagandeep Kaur, Bhupinder Singh . Study of Single Scale Spatial Adaptive Filters, Diffusion Filters and Multi Scale Filters for Speckle Noise Suppression. International Journal of Computer Applications. 135, 10 ( February 2016), 16-21. DOI=10.5120/ijca2016908517
Abstract
Ultrasound imaging owing to its low cost and non-invasive nature is a widely accepted imaging technique. The image quality in ultrasound images is degraded by a special type of acoustic noise known as speckle. Speckle noise is a random presence of bright and dark spots which hinders human interpretation of images and computer assisted diagnostic techniques. The success of ultrasonic examination depends upon image quality; therefore, despeckling is necessary to improve visual quality for better diagnosis. Several speckle reduction methods are applied to the ultrasound images to suppress noise and preserve the useful diagnostic information. This paper presents a review of multi-scale filters (wavelets), single scale spatial adaptive filters (viz. Median, Wiener, Lee, Frost, Kuan, and Gamma MAP filter) and two Diffusion filters (viz. Anisotropic Diffusion filter and Speckle Reduction Anisotropic Diffusion filter)that are widely used for speckle reduction in biomedical ultrasound B-scan images.
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