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Author(s):
Shi, Y.; Zhu, X.; Bamler, R. 
Title:
Optimized parallelization of non-local means filter for image noise reduction of {InSAR} image 
Abstract:
Non-local means filter is widely used for image noise reduction. Although the sequential implementation for this algorithm has been successfully applied to large scale InSAR problems, few parallel versions of the non-local InSAR filters have addressed well algorithm characteristics such as an unpredictable workload balance, a strong data dependency. These challenges engender many interesting design issues including domain decomposition, data access, management and workload balancing. This paper...    »
 
Keywords:
Synthetic aperture radar, radar imaging, radar interferometry, Coherence, iterative methods, Noise measurement, optimisation, image filtering, Parallel algorithms, Standards, interferometric synthetic aperture radar, Algorithm design and analysis, Filtering algorithms, InSAR image, Optical filters, data access, data management, domain decomposition, image denoising, image noise reduction, interference suppression, iterative InSAR nonlocal means filter, optimized parallelization, parallel scheme,...    »
 
Book / Congress title:
2015 {IEEE} {International} {Conference} on {Information} and {Automation} 
Congress (additional information):
00000 
Year:
2015 
Month:
aug 
Pages:
1515--1518