Superresolved image reconstruction in FZA lensless camera by color-channel synthesis
Tomoya Nakamura, Takuto Watanabe, Shunsuke Igarashi, Xiao Chen, Kazuyuki Tajima, Keita Yamaguchi, Takeshi Shimano, Masahiro Yamaguchi
Abstract
The Fresnel-zone-aperture lensless camera using a fringe-scanning technique allows non-iterative well-conditioned image reconstruction; however, the spatial resolution is limited by the mathematical reconstruction model that ignores diffraction. To solve this resolution problem, we propose a novel image-reconstruction algorithm using the wave-optics-based design of the deconvolution filter and color-channel image synthesis. We verify a two-fold improvement of the effective angular resolution by conducting numerical simulations and optical experiments with a prototype.
Topics & Concepts
OpticsDeconvolutionIterative reconstructionComputer scienceImage resolutionBlind deconvolutionComputer visionChannel (broadcasting)Fresnel diffractionAngular resolution (graph drawing)Aperture synthesisImage restorationPoint spread functionDiffractionArtificial intelligenceImage processingImage (mathematics)PhysicsInterferometryMathematicsTelecommunicationsCombinatoricsDigital Holography and MicroscopyRandom lasers and scattering mediaImage Processing Techniques and Applications