6533b7d1fe1ef96bd125cf03
RESEARCH PRODUCT
Intensity invariant nonlinear correlation filtering in spatially disjoint noise.
Walid Ben TaraHenri H. ArsenaultPascuala García-martínezsubject
business.industryMaterials Science (miscellaneous)Matched filterMathematical analysisNonlinear correlationFilter (signal processing)Disjoint setsIndustrial and Manufacturing EngineeringOpticsDigital image processingMedian filterBusiness and International ManagementInvariant (mathematics)businessLinear filterMathematicsdescription
We analyze the performance of a nonlinear correlation called the Locally Adaptive Contrast Invariant Filter in the presence of spatially disjoint noise under the peak-to-sidelobe ratio (PSR) metric. We show that the PSR using the nonlinear correlation improves as the disjoint noise intensity increases, whereas, for common linear filtering, it goes to zero. Experimental results as well as comparisons with a classical matched filter are given.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-08-03 | Applied optics |