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SotA/Computer Vision/Image Fusion

Image Fusion

36 benchmarks0 papers

Image fusion is a process in computational imaging where information from multiple images, often from different imaging modalities or spectral bands, is combined into a single image. The aim is to enhance the quality or utility of the information. This technique is widely used in various fields such as medical imaging, remote sensing, and surveillance. The fused image retains important features from each of the original images, thereby providing a more comprehensive representation of the scene or object being imaged.

Benchmarks

Image Fusion on WorldView-3 Adelaide

D_lambdaD_rhoD_lambda_alignedR-ERGAS

Image Fusion on PanCollection

SAMERGASQ8

Image Fusion on Full WorldView-3 PanCollection

D_lambdaD_sHQNR

Image Fusion on GeoEye-1 Genoa

D_lambdaD_lambda_alignedD_rhoR-ERGAS

Image Fusion on GeoEye-1 PairMax

D_lambdaD_lambda_alignedD_rhoR-ERGAS

Image Fusion on Reduced QuickBird PanCollection

SAMERGASQ4

Image Fusion on Reduced WorldView-3 PanCollection

SAMERGASQ8

Image Fusion on WorldView-2 PairMax

D_lambdaD_lambda_alignedD_rhoR-ERGAS

Image Fusion on WorldView-2 Washington

D_lambdaD_lambda_alignedD_rhoR-ERGAS

Image Fusion on WorldView-3 PAirMax

D_lambdaD_lambda_alignedD_rhoR-ERGAS