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Foundations Of Image Science


Foundations Of Image Science


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Foundations Of Image Science


Features Foundations Of Image Science




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Descriptions Foundations Of Image Science


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Winner of the 2006 Joseph W. Goodman Book WritingAward!

A comprehensivetreatment of the principles, mathematics, and statistics of imagescience

In today’s visually oriented society, images play animportant role in conveying messages. From seismic imaging tosatellite images to medical images, our modern society would belost without images to enhance our understanding of our health, ourculture, and our world.

Foundations of Image Science presents a comprehensivetreatment of the principles, mathematics, and statistics needed tounderstand and evaluate imaging systems. The book is the first toprovide a thorough treatment of the continuous-to-discrete, or CD,model of digital imaging. Foundations of Image Science emphasizesthe need for meaningful, objective assessment of image quality andpresents the necessary tools for this purpose. Approaching thesubject within a well-defined theoretical and physical context,this landmark text presents the mathematical underpinnings of imagescience at a level that is accessible to graduate students andpractitioners working with imaging systems, as well aswell-motivated undergraduate students.

Destined to become a standard text in the field, Foundationsof Image Science covers:

  • Mathematical Foundations: Examines the essential mathematicalfoundations of image science
  • Image Formation–Models and Mechanisms: Presents acomprehensive and unified treatment of the mathematical andstatistical principles of imaging, with an emphasis on digitalimaging systems and the use of SVD methods
  • Image Quality: Provides a systematic exposition of themethodology for objective or task-based assessment of imagequality
  • Applications: Presents detailed case studies of specific directand indirect imaging systems and provides examples of how to applythe various mathematical tools covered in the book
  • Appendices: Covers the prerequisite material necessary forunderstanding the material in the main text, including matrixalgebra, complex variables, and the basics of probabilitytheory

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