Enhancement of Video Images Degraded by Turbid Water

Abstract

This thesis deals with the enhancement of video images degraded by turbid water viewing conditions. An algorithm by Peli and Lim has been used with some success for enhancement, but it was found to accentuate noise. The thesis examines a combination of the Peli and Lim algorithm with three - approaches to enhancement. First, a Short Space Spectral Subtraction algorithm which performs the restoration in the density domain, using an estimate for the power spectrum of the given data set. The degraded image is divided into many subimages and each subimage is restored separately and then combined. Next, an algorithm for Image Enhancement by Use of Local Statistics, which uses the assumption that the sample mean and variance of a pixel is equal to the local mean and variance of all pixels within a fixed range surrounding it.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA176667

Entities

People

  • Jorge A. Franco

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computers
  • Digital Images
  • Electrical Engineering
  • Engineering
  • Filters
  • Filtration
  • Image Processing
  • Image Restoration
  • Noise
  • Noise Reduction
  • Power Spectra
  • Signal Processing
  • Statistics
  • Two Dimensional
  • Video Images

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Space Objects