Information-Theoretic Assessment

  • Friedrich O. Huck
  • Carl L. Fales
  • Zia-ur Rahman
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 409)


This chapter introduces information theory into the mathematical development to establish an approach, based on fundamental principles, for the assessment of visual communication. In this assessment, we must clearly distinguish image reconstruction (Chapter 2) from restoration (Chapter 3). Whereas the reconstruction is intended to produce a continuous representation of the discrete output of the image-gathering device, the restoration is intended to produce a representation of the input to this device. The information-theoretic assessment is meaningful only for image restoration for which a close correlation evolves between information rate and image quality.


Visual Quality Quantization Level Quantization Noise Image Restoration Information Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Friedrich O. Huck
    • 1
  • Carl L. Fales
    • 1
  • Zia-ur Rahman
    • 2
  1. 1.Research and Technology GroupNASA Langley Research CenterUSA
  2. 2.Department of Computer ScienceCollege of William & MaryUSA

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