Dynamic Optically Multiplexed Imaging

Abstract

Optically multiplexed imagers overcome the tradeoff between field of view and resolution by superimposing images from multiple fields of view onto a single focal plane. In this paper, we consider the implications of independently shifting each field of view at a rate exceeding the frame rate of the focal plane array and with a precision that can exceed the pixel pitch. A sequence of shifts enables the reconstruction of the underlying scene, with the number of frames required growing inversely with the number of multiplexed images. As a result, measurements from a sufficiently fast sampling sensor can be processed to yield a low distortion image with more pixels than the original focal plane array, a wider field of view than the original optical design, and an aspect ratio different than the original lens. This technique can also enable the collection of low-distortion, wide field of view videos. A sequence of sub-pixel spatial shifts extends this capability to allow the recovery of a wide field of view scene at sub-pixel resolution. To realize this sensor concept, a novel and compact divided aperture multiplexed sensor, capable of rapidly and precisely shifting its fields of view, was prototyped. Using this sensor, we recover twenty-four megapixel images from a four megapixel focal plane and show the feasibility of simultaneous de-multiplexing and super-resolution.

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Document Details

Document Type
Technical Report
Publication Date
Jul 29, 2015
Accession Number
AD1034764

Entities

People

  • R. H. Shepard
  • Tina Shih
  • Vinay Shah
  • Yaron Rachlin

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Ambiguity
  • Arrays
  • Coding
  • Detection
  • Detectors
  • Diffraction
  • Distortion
  • Equations
  • Focal Plane Arrays
  • Focal Planes
  • Image Reconstruction
  • Measurement
  • Optical Detectors
  • Optimization
  • Prototypes
  • Sampling

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.