Scanned Images.

Abstract

The purpose of this project was to continue the work that began in the previous year toward the achievement of an ITU-T test image recommendation. As a result of comments and suggestions to the imagery contained on the first test CD ROM titled "Standard Image Set, Beta Test CD-01", a second test CD-ROM was crated for the ITU-T. This report describe this new test CD-ROM and the images contained on it; provides th standards groups who received evaluation copies of the test CD-ROM; contains a description of the images contained in the "JPEG Continuation-tone Test Image Set". This set of images was used in the performance evaluation of nine different proposed JPEG compression algorithms. The performance results obtained using the different JPEG algorithms on these images is given in this report. It also gives recommendations for further work in this area. The NCS has been a leader in the development and promulgation of standardized imagery for facsimile. The NCS has sponsored the digitization of documents at resolutions of 200, 240, 300, 400, 480, 600, and 800 lines per inch. This data has been used extensively in the study of standard compression of facsimile recommendations. These recommendations are of considerable value to the US Government.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1996
Accession Number
ADA319888

Entities

People

  • Stephen Perschau

Organizations

  • Delta Information Systems (United States)

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Beta Testing
  • Circuit Boards
  • Communication Systems
  • Compression
  • Computer Programming
  • Computers
  • Data Compression
  • Detectors
  • Governments
  • Gray Scale
  • Image Compression
  • Information Systems
  • Intellectual Property
  • Operating Systems
  • Standards
  • Test And Evaluation

Readers

  • Business Analytics
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Image Processing and Computer Vision.