Paper Info
Title
Edge-Based Automatic Parameter Selection for Sub-Optimal Image Despeckling Using Kuan Filter
Abstract
Multiplicative speckle noise is a common problem found in several imaging applications, mainly in SAR and ultrasound imaging. This paper targets the Kuan despeckling filter and seeks to optimize its output without the need for several runs of the filter with the parameters adjusted each time. The proposed solution estimates the optimal filter parameter value, which results in near-optimal performance, where the PSNR loss does not exceed 0.1 dB most of the time, compared to the best possible filter output.
Year
DOI
Venue
2012
10.1109/SITIS.2012.19
SITIS
Keywords
Field
DocType
synthetic aperture radar,sar,common problem,kuan,edge-based automatic parameter selection,ultrasound imaging,psnr loss,possible filter output,speckle,image denoising,sub-optimal image despeckling,kuan filter,sub-optimal image,edge detection,optimal filter parameter value,denoising,filtering theory,kuan despeckling filter,multiplicative speckle noise,filtering,proposed solution,imaging application,multiplicative noise,near-optimal performance
Noise reduction,Computer vision,Pattern recognition,Speckle pattern,Synthetic aperture radar,Edge detection,Computer science,Ultrasound imaging,Filter (signal processing),Artificial intelligence,Speckle noise,Multiplicative noise
Conference
ISBN
Citations 
PageRank 
978-1-4673-5152-2
1
0.43
References 
Authors
6
3
Name
Order
Citations
PageRank
Adib Akl1255.33
Kamal Tabbara210.43
Charles Yaacoub38314.28