This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists. Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation.
It's very bad representation of mathematical backgrounds. Providing a *new* formula with *first* appeared variables without any previous declaration or later explanation for them - it's common practice for the author. The reader is forced to skip such paragraphs at all or to find (not basic!) foundations for these concepts. For those of us, whose mathematical skills is not so solid, material looks overcomplicated. It's better to except it at all or make it more clear. Some image descriptions (or references to them inside text) are misleading (ref to pic 2.11, i.e.). So, if you want to really understand Fourier transformation applied to image processing, for example, this book is not for you, sadly. Try another source with better explanation (with Euler formula and other context for complex numbers too). I expected more from this book.