Introduction to Image Processing

  • Authors
  • André Marion

Table of contents

  1. Front Matter
    Pages i-vi
  2. André Marion
    Pages 1-12
  3. André Marion
    Pages 13-50
  4. André Marion
    Pages 51-74
  5. André Marion
    Pages 75-102
  6. André Marion
    Pages 103-145
  7. André Marion
    Pages 147-191
  8. André Marion
    Pages 193-230
  9. André Marion
    Pages 231-245
  10. André Marion
    Pages 247-254
  11. André Marion
    Pages 255-305
  12. Back Matter
    Pages 306-314

About this book


I. The past. the present . . . and the future It is possible to take the view that ever since it began, the "ancient" branch of physics known as Optics has been concerned with process­ ing images. But since the Nineteen-Thirties increasingly close ties have been forming between Optics, which until then had been largely based on instruments, and the sciences of communication and infor­ mation arising out of mathematics and electronics. Such developments follow naturally, since communication systems and image-forming systems are all designed to receive or transmit information. Further­ more the same mathematical forms are used for describing the beha­ viour of electrical and optical systems. It is a question of systems theory, particularly linear systems, and of Fourier's analysis methods, which together constitute an important part of Signal Theory. In the case of communication systems carrying signals of an electrical nature, information is time-related or temporal. Transmitted signals are one-dimensional and functions of a single variable, time t. In the case of optical systems information is spatial in nature. Signals are distributions of light intensity in space. In general they are treated as two-dimensional signals, being functions of two spatia! variables written as x and y. In the early Fifties the way forward became clearer still when some scientists at the Institut d'Optique in Paris began using optical filtering techniques in coherent light in order to enhance the quality of photographs.


filtering function image processing mathematics systems theory variable

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 1991
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-442-31202-2
  • Online ISBN 978-1-4899-3186-3
  • Buy this book on publisher's site