Home | Contact Us | About Downloads | FAQs |


Errata sheets

Review materials



Digital Image Processing, 3rd edition



About the Book

Basic Information

  • ISBN number 9780131687288.

  • Publisher: Prentice Hall

  • 12 chapters.

  • 954 pages.

  • 2008.

DIGITAL IMAGE PROCESSING  has been the world's leading textbook in its field for more than 30 years. As in the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992 and 2002 editions by Gonzalez and Woods, this fifth-generation book was prepared with students and instructors in mind.  The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies for digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. The material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, and image description. Coverage concludes with a discussion on the fundamentals of object recognition.

Although the book is completely self-contained, this companion web site provides additional support in the form of review material, answers to selected problems, laboratory project suggestions, and a score of other features. A supplementary instructor's manual is available to instructors who have adopted the book for classroom use.  See also a partial list of institutions that use the book.

One of the principal reasons this book has been the world leader in its field for more than 30 years is the level of attention we pay to the changing educational needs of our readers. The present edition is based on the most extensive survey we have ever conducted. The survey involved faculty, students, and independent readers of the book in 134 institutions from 32 countries. Many of the following new features are based on the results of that survey.


  • A revision of introductory concepts that provides readers with foundation material much earlier in the book than before.

  • A revised and updated discussion of intensity transformation, spatial correlation, convolution, and their application to spatial filtering.

  • New discussion of fuzzy sets and their application to image processing.

  • A new chapter on the discrete Fourier transform and frequency domain processing.

  • New coverage of computerized tomography.

  • A revision of the wavelets chapter.

  • A new chapter on data compression, including new compression techniques, digital video compression, standards, and watermarking.

  • New coverage of morphological reconstruction, gray-scale morphology, and advanced morphological algorithms.

  • New coverage of the Marr-Hildreth and Canny edge detection algorithms.

  • Expanded coverage of image thresholding.

  • New examples and illustrations involving over 400 new images and more than 200 new drawings and tables.

  • Expanded homework sets, including over 80 new problems.

  • Updated bibliography.