Conference Paper

Modulation diffraction efficiency of spatial light modulators

DOI: 10.1109/WIO.2011.5981461 Conference: Information Optics (WIO), 2011 10th Euro-American Workshop on
Source: IEEE Xplore

ABSTRACT We present an analysis of the efficiency of phase diffractive elements displayed onto spatial light modulators as a function of the device modulation. We show uses and strategies to compensate for the efficiency reduction in the presence of modulation defects like coupled amplitude modulation or non ideal phase modulation.

1 Follower
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Computer-generated holograms (CGH’s) are diffractive-optical elements that offer the possibility of creating wave-optical display systems that are under complete computer control. Because CGH’s can control all aspects of the optical wave, three-dimensional imagery can be presented to an audience. After reviewing some mathematical preliminaries that are essential to the description of CGH’s, we move to the description of their construction and operation. We include descriptions of the effects that some common imperfections have on the image presented by a CGH. Although CGH’s have been successfully applied in applied in many areas including optical testing and security, we concentrate our attention on 3-D display. We will also examine some basic conditions on the use of CGH’s for video display of these images.
    12/2005: pages 1-49;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Constrained energy minimization (CEM) has shown effective in hyperspectral target detection. It linearly constrains a desired target signature while minimizing interfering effects caused by other unknown signatures. This paper explores this idea for band selection and develops a new approach to band selection, referred to as constrained band selection (CBS) for hyperspectral imagery. It interprets a band image as a desired target signature vector while considering other band images as unknown signature vectors. As a result, the proposed CBS using the concept of the CEM to linearly constrain a band image, while also minimizing band correlation or dependence provided by other band images, is referred to as CEM-CBS. Four different criteria referred to as Band Correlation Minimization (BCM), Band Correlation Constraint (BCC), Band Dependence Constraint (BDC), and Band Dependence Minimization (BDM) are derived for CEM-CBS.. Since dimensionality resulting from conversion of a band image to a vector may be huge, the CEM-CBS is further reinterpreted as linearly constrained minimum variance (LCMV)-based CBS by constraining a band image as a matrix where the same four criteria, BCM, BCC, BDC, and BDM, can be also used for LCMV-CBS. In order to determine the number of bands required to select p, a recently developed concept, called virtual dimensionality, is used to estimate the p. Once the p is determined, a set of p desired bands can be selected by the CEM/LCMV-CBS. Finally, experiments are conducted to substantiate the proposed CEM/LCMV-CBS four criteria, BCM, BCC, BDC, and BDM, in comparison with variance-based band selection, information divergence-based band selection, and uniform band selection.
    IEEE Transactions on Geoscience and Remote Sensing 07/2006; 44(6-44):1575 - 1585. DOI:10.1109/TGRS.2006.864389 · 3.51 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application. Methods are classified according to the different aspects of mutual-information-based registration. The main division is in aspects of the methodology and of the application. The part on methodology describes choices made on facets such as preprocessing of images, gray value interpolation, optimization, adaptations to the mutual information measure, and different types of geometrical transformations. The part on applications is a reference of the literature available on different modalities, on interpatient registration and on different anatomical objects. Comparison studies including mutual information are also considered. The paper starts with a description of entropy and mutual information and it closes with a discussion on past achievements and some future challenges.
    IEEE Transactions on Medical Imaging 09/2003; 22(8-22):986 - 1004. DOI:10.1109/TMI.2003.815867 · 3.80 Impact Factor
Show more