6533b81ffe1ef96bd1278f63
RESEARCH PRODUCT
Super-resolved imaging with randomly distributed, time- and size-varied particles
E FishZeev ZalevskyY VexbergVicente MicóN ShacharJavier Garciasubject
DiffractionMaterials sciencebusiness.industryResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Image processingSample (graphics)Atomic and Molecular Physics and OpticsOpticsComputer Science::Computer Vision and Pattern RecognitionParticleParticle sizebusinessImage resolutiondescription
In this paper we present a super-resolved approach aimed at overcoming the diffraction limit in imaging systems. It is based on place randomly and time-varied particles having different sizes on the top of the sample. By considering particle sizes smaller than the object's minimum detail that an imaging system can resolve, it is possible to recover a high resolution image from a set of low resolution images while before capturing each image we produce a randomly modified distribution of the particles by vibrating the sample. The simulation process as well as experimental results validates the proposed approach that includes effectively decreasing the F number of the imaging system while being capable of allowing super-resolved imaging.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-05-12 | Journal of Optics A: Pure and Applied Optics |