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Updated: May 12, 2026

High-speed Particle Image Velocimetry Near Surfaces
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Image formation analysis and high resolution image reconstruction for plenoptic imaging systems.

Sapna A Shroff1, Kathrin Berkner

  • 1Computational Optics Sensing and Visual Processing Research, Ricoh Innovations Inc., Menlo Park, California 94025, USA. sapna@rii.ricoh.com

Applied Optics
|April 3, 2013
PubMed
Summary

Plenoptic imaging resolution is limited by lenslets. This study presents a method to recover conventional 2D image resolution from plenoptic data for in-focus objects.

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Area of Science:

  • Optics and Photonics
  • Image Processing

Background:

  • Plenoptic imaging systems offer advanced capabilities like refocusing and multiview imaging.
  • A key limitation of plenoptic systems is their resolution, which is constrained by the number of microlenses.

Purpose of the Study:

  • To investigate paraxial, incoherent, plenoptic image formation.
  • To develop a method for recovering lost resolution in plenoptic imaging.
  • To enable the reconstruction of a conventional-resolution 2D image from plenoptic data.

Main Methods:

  • Analysis of paraxial, incoherent plenoptic image formation.
  • Development of a novel resolution recovery algorithm.
  • Simulations of a plenoptic system with known response and Gaussian sensor noise.

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Last Updated: May 12, 2026

High-speed Particle Image Velocimetry Near Surfaces
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Published on: June 24, 2013

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Main Results:

  • Demonstrated a method to recover conventional 2D image resolution from plenoptic data.
  • Successfully reconstructed a 2D in-focus object image.
  • Validated the method through simulations considering system response and noise.

Conclusions:

  • The proposed method effectively overcomes the inherent resolution limitations of plenoptic imaging for specific object types.
  • This research opens possibilities for enhanced image quality in plenoptic applications.