Coding of Aerial Reconnaissance Images for Transmission over Noisy Channels.

Abstract

Several picture coding techniques were applied to aerial reconnaissance photos for the purpose of comparative evaluation. Both spatial and frequency domain methods were used: five of them previously known, as well as two new ones enunciated here for the first time. The comparisons reported within were subjective ones carried out by a team of five professional photo analysts trained to extract targets from aerial images. Their judgements were obtained on noise-free images as well as those coded and subjected to a simulated noisy transmission channel prior to decoding. The bit error rates used were 0, .0001, .001, and .01. The specific coding methods evaluated were: fixed zonal; threshold; four-class zonal (Chen and Smith); hybrid; Micro-Adaptive Picture sequencing (CDC); and the two new techniques: block truncation, and variable zone. Detailed theoretical discussions of each coding method are included as are listings of all specific parameter choices used in each method. Arithmetic operations count estimates and the resulting mean-square error performance for each technique are also given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA061539

Entities

People

  • E. J. Delp
  • O. R. Mitchell
  • S. C. Bass
  • T. W. Goeddel

Organizations

  • Purdue University

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Computational Complexity
  • Computer Programming
  • Data Compression
  • Data Processing
  • Data Science
  • Frequency Domain
  • Image Processing
  • Information Processing
  • Information Science
  • Information Theory
  • Plastic Explosives
  • Pulse Code Modulation
  • Reliability
  • Statistics
  • Two Dimensional

Readers

  • Approximation Theory.
  • Computer Science.
  • Image Processing and Computer Vision.