Publication | Closed Access
Best Tradeoff for High-Resolution Image Fusion to Preserve Spatial Details and Minimize Color Distortion
56
Citations
10
References
2007
Year
Best TradeoffEngineeringIhs FusionMultispectral ImagingColor CorrectionImage MosaicingMulti-image FusionImage AnalysisTradeoff ParameterComputational ImagingVideo Super-resolutionSpatial DetailsMachine VisionSynthetic Aperture RadarMinimize Color DistortionDemosaicingImage StitchingImage EnhancementComputer VisionRemote SensingMulti-focus Image Fusion
The fast intensity-hue-saturation (IHS) methods can quickly merge massive volumes of data from new satellite imagery. To minimize the color distortion from IHS fusion, Choi used a tradeoff parameter in his new fast IHS approach to control the spatial and spectral resolution of the fused image. However, the method is not general and requires manual adjustment of the tradeoff parameter in order to keep spatial details while preserving spectral characteristics. To tackle this problem, a modified approach that is a tunable IHS-Brovey method is presented in this letter. Experimental results demonstrate that the proposed technique can provide significant improvements over the original method, that is, to achieve a best tradeoff for spatial details and color distortion
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