Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Distributed and binary imaging using an array of low-resolution cameras

Not Accessible

Your library or personal account may give you access

Abstract

A variant of the general super-resolution problem involves the generation of a single high-resolution image using a sequence of low-resolution video frames [1]. We study a related problem in which a high-resolution image is obtained from multiple low-resolution cameras. In our model each camera measurement represents a transformation of the object space according to some (a priori known) position/magnification/rotation. Note that an array of imagers can be characterized by their number as well as their range of positions/magnifications/rotations. We refer to the range of position/magnification/rotation as the measurement diversity of the array. Large diversity might correspond to a range of positions = 16 pixels, a range of rotations = 45 degrees, and a range of magnifications = 20 %. Medium diversity might be considered 8 pixels, 15 degrees, and 10%. Random noise is also included within our imager model. We have developed several algorithms for combining data from disparate camera measurements in order to arrive at a single high-resolution object estimate. The first algorithm that we investigated was a variant of the gradient-based Iterative Back-Projection (IBP) algorithm [2], extended to handle general affine transformations. The results of applying this algorithm are shown in figure 1, in which we see that increasing the number of cameras improves reconstruction mean-squared-error (MSE). This figure also demonstrates the important trend that (for a sufficient number of cameras) increased measurement diversity provides improved MSE performance.

© 2003 Optical Society of America

PDF Article
More Like This
Simultaneous computational super-resolution and 3D integral imaging in the long-wave infrared using an array of compact cameras

Miguel A. Preciado, Guillem Carles, and Andrew Harvey
JTu5A.12 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2017

Polarization imaging camera with a form birefringent micro-retarder array

H. Kikuta, K. Numata, M. Muto, K. Iwata, H. Toyota, K. Moriwaki, T. Yotuya, and H. Sato
ThRR3 Frontiers in Optics (FiO) 2003

Low-cost multi-spectral imaging camera array

James Downing, Andrew A. Murray, and Andrew R. Harvey
JW1A.6 Computational Optical Sensing and Imaging (COSI) 2012

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved