6533b856fe1ef96bd12b281d

RESEARCH PRODUCT

Superresolved imaging of remote moving targets.

Zeev ZalevskyJavier GarciaCarlos Ferreira

subject

Point spread functionComputational complexity theorybusiness.industryComputer scienceRemote sensing applicationMovementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo RecordingInformation Storage and RetrievalReproducibility of ResultsImage processingIterative reconstructionImage EnhancementSensitivity and SpecificityAtomic and Molecular Physics and OpticsPattern Recognition AutomatedOpticsSubtraction TechniqueImage Interpretation Computer-AssistedPhotographyLimit (mathematics)businessImage resolutionDecoding methodsAlgorithms

description

We present a superresolving approach that allows one to exceed the diffraction limit and recover highly resolved contours of moving targets from a sequence of low-resolution images. The presented approach is suitable for remote sensing applications. The resolution decoding algorithm that is used to recover the high-resolution features of the target can be run partially via optical means and that way can be used to reduce the required computational complexity.

10.1364/ol.31.000586https://pubmed.ncbi.nlm.nih.gov/16570406