The Image Processing Handbook

by John C. Russ

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more.

Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition:

Features a greater range of computationally intensive algorithms than previous versions
Provides better organization, more quantitative results, and new material on recent developments
Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis
Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines
Presents 500+ entirely new figures and images, with more than two-thirds appearing in color

The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

Genres: Nonfiction

1053 pages, Kindle Edition

First published May 27, 1992

Reviews

[Kevin Connery · Rating 4 out of 5]

Very good. Not aimed at photographers, but the math was mostly understandable, and I learned a bunch

[Nicole Neo · Rating 3 out of 5]

Why explain concepts and then advertise his commercial software that implements them?

[Pjagadeesh · Rating 2 out of 5]

my first review.

[Vern Roseman · Rating 5 out of 5]

Constantly refer to the processes and terms when doing scientific image analysis and processing.