Book Description
For courses in Image and Computer Vision.
Completely self-contained and heavily illustrated, this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing - e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.
Features and Benefits
NEW - A broader overview of the spectrum of applications of digital image processing designed to give the reader a solid understanding of the areas in which image processing is utilized.
NEW - Digital image fundamentals (Ch. 2) - Focuses on how digital images are generated, and the closely related concepts of sampling, aliasing, Moiré patterns, and image zooming and shrinking.
NEW - Expanded (two-chapter) coverage on image enhancement - Image Enhancement in the Spatial Domain (Ch. 3) uses image enhancement as an interesting area in which to base learning of spatial processing techniques in general; Image Enhancement in the Frequency Domain (Ch. 4) covers the same concepts as in Ch. 3, but using the Fourier transform and frequency domain methods instead. For students, this increases the level of intuitiveness in the presentation, and for instructors it provides flexibility in the amount of frequency-domain material they wish to cover.
NEW - Image transforms - Now introduced earlier, allowing instructors to begin discussion of image processing techniques much earlier than before.
NEW - More intuitive presentation of image restoration (Ch. 5) - Avoids matrix-theory formulation and features numerous new examples. Which makes the topic much more appealing and easier to follow for beginners.
NEW - Full-chapter coverage of color image processing (Ch. 6) - Fully illustrated with color examples providing students with a solid, accessible background in a topic that is becoming increasingly more important, especially in regard to the use of digital images for Internet applications.
NEW - Unique new, full-chapter coverage of wavelets (Ch. 7) - Keeps students current with the developments in signal processing applications that are being motivated by the need for more sophisticated methods for image compression, a topic that is motivated by the increased number of images transmitted over the Internet or stored in web servers.
NEW - Updated discussion of image compression (Ch. 8) - Features new compression methods and standards and a new section on compression using wavelets.
NEW - New chapter on morphology (Ch. 9).
NEW - Updated coverage of segmentation using morphological watersheds (Ch. 10).
NEW - Numerous new examples - With processed images of higher resolution.
NEW - Book has numerous examples and over 500 new images, 200 new line drawings, and more than 300 problems.
NEW - Expanded chapter-end problem sets.
NEW - Companion web site - Provides both students and instructors with additional support material.
Accessible mathematical complexity. Which ensures understanding by students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, and rudimentary computer programming.
Heavily illustrated ensuring easy comprehension of material, especially for todays visual learners.
Synopsis
For courses in Image Processing and Computer Vision. Completely self-contained-and heavily illustrated-this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing-e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.
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