6533b7ddfe1ef96bd127407c
RESEARCH PRODUCT
Depth-of-Field Enhancement in Integral Imaging by Selective Depth-Deconvolution
Genaro SaavedraRoger OlssonMårten SjöströmH. NavarroManuel Martínez-corralsubject
Signal processingIntegral imagingOptical diffractionbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionÒpticaCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsNumerical apertureOpticsComputer visionDepth of fieldDeconvolutionArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessGeologydescription
One of the major drawbacks of the integral imaging technique is its limited depth of field. Such limitation is imposed by the numerical aperture of the microlenses. In this paper, we propose a method to extend the depth of field of integral imaging systems in the reconstruction stage. The method is based on the combination of deconvolution tools and depth filtering of each elemental image using disparity map information. We demonstrate our proposal presenting digital reconstructions of a 3-D scene focused at different depths with extended depth of field.
year | journal | country | edition | language |
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2014-03-01 | Journal of Display Technology |