reference

This book is OK as a rather non-mathematical introduction to image processing at an advanced undergraduate level.
The "analog" approach to signal and image processing is not covered extensively. There is more emphasis on algorithmic aspects. Frequency analysis is kept to a minimum and one-dimensional signals such as speech are not covered extensively or at all, although some aspects of analog processing are more easily explained in a 1-D context.
Maybe just as well from an image analysis/computer vision standpoint. Indeed, many other textbooks exist with more emphasis on base functions and transforms (but then they are utterly lacking in the algorithmic approach).

More down to earth, though. I know that my students would be turned off by the US price of $115. Hardly appropriate for the less affluent student ! Especially since the UK Amazon price is £37. Same ISBN. Luckily, in Europe, we can order from the UK store.

We've been using this book in the image processing class I'm taking. I've found it very useful. It covers a large range of topics and manages to cover the material with just enough detail.

Cut-and-paste coders may want to look elsewhere, since this book stays away from code examples. Instead it uses a lot of algorithms. I've had little trouble implementing the filtering and segmentation techniques described in the book.

This book covers a lot but if you are the practical kind who wants to know how things work and implement them fast, this is not the book for reference. Some chapters are good and are detailed and informative, while some others contain such sparse information that the atleast I was totally confused.