Assessing Image Fusion Methods for Unconstrained Outdoor Scenes

Abstract

In this paper, we assess nine recent pixel-level image fusion algorithms. These fusion algorithms are experimentally evaluated with quantitative assessment techniques. Finally, a new assessment paradigm for image fusion is provided.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481483

Entities

People

  • A. Sayedelahl
  • Jun Zeng
  • M. Chouikha
  • P. Frazier
  • T. Gilmore

Organizations

  • Howard University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Biomedical Engineering
  • Classification
  • Composite Images
  • Contrast
  • Data Displays
  • Data Fusion
  • Detectors
  • Engineering
  • Filters
  • Image Processing
  • Images
  • Information Processing
  • Sensor Fusion
  • Statistical Analysis
  • Target Recognition

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Systems Analysis and Design