Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science)

Most of us use photo processing software, from the CDs that come with cheap cameras right up to Adobe Photoshop, and we know how to do things, but not how the system works. Those who are curious, or students beginning the study of image processing methods, will want clear but thorough explanations of the underlying algorithms. This text assumes that the reader knows a little about Java, although knowledge of other similar computer languages will be sufficient to follow the programs. Everything else is very clearly and thoroughly explained with very clear diagrams.My only complaint is that some of the photo images before and after processing are rather small, and subtle distinctions which would be clear on screen or in larger pictures are not easy to see. This is the first volume of three, the others expanding the contents of this one in much more detail, and adding more advanced techniques.

The book arrived in very good condition, as new, a week after it was ordered. The book is really useful for novices in image analysis who are using ImageJ.

Ho utilizzato questo libro come bibliografia per la tesi. Ottima base di partenza per lo studio dell'elaborazione delle immagini con semplici esempi per il tool ImageJ. Molto interessante anche da non studiare ma solo per farsi un'idea.

I love this book, as well as the precursor, Digital Image Processing: An Algorithmic Introduction using Java. The authors are masters of exposition. They provide motivation, clarity, and supporting details, as well as helpful pointers to complete solutions -- and they respect the reader's intelligence. And the support for ImageJ and Fiji are fabulous. The authors explain things well, have beautiful illustrations, supply the detailed needed to confirm it for yourself, and address the subtle technical discrepancies with the more general claims. For example, in the description of anisotropic diffusion filters (section 5.3 starting on page 143), they assure the careful reader on p. 149 regarding something the reader might have figured out for themselves: that as formally described, the filter is not anisotropic, but the descritized approximation of it is anisotropic. Had I started with a book like this, I might have fallen in love with digital image processing instead of algorithms and data structures.

in the process of writing a thesis on oceanography i needed to become an image processing wizard ASAP. this set gave me a very good primer that i have been using to expand and standardize my own methods and code.

It's good

The book is very nicely written and organized, to the point that I might decide to use it in a course I will be teaching. The 3 stars are due to the fact that Amazon sells it in black and white. The original book, as sold on the publisher's website, is in color. This is a very crucial difference, as Chapter 8 deals with color images, which is very hard to follow when the "color images" that it deals with are actually printed in shades of gray. I am going to return my copy.