Customer Reviews

Digital Holography and Digital Image Processing:: Principles, Methods, Algorithms

5 star:		(2)
4 star:		(0)
3 star:		(0)
2 star:		(2)
1 star:		(0)

 

 

This book contains useful formulas and derivations which may not be in other books, but the English is awful. It also has some significant technical mistakes in some equations. I can't believe Kluwer published this. Quoting from page 7, "In real application, it very frequently happens . Very that noise randomly replaces signal values that in this case are completely lost. In such situation, in general, the model of impulse noise is used." If I were Kluwer, I'd do a product recall, edit the book and release it under a different title.

Leaving aside Kluwer's editorial work, this is probably one of the most important books on image processing. This is the book that I find myself returning to again and again, collecting nrw insights at each time.

The author provides a rigorous mathematical formulation for the fundamental problems in image processing: quantization, object detection, restoration, etc.
Based on this formulation, efficient algorithms are derived and a their performance is mathematically analyzed.
Than a disscussion follows which sheds new light on other approaches and ties them together into one big picture. For example: wavelet shrinkage, wiener filters and PCA are tied together in the context of image enhancement.

I recommend this book to anyone who wants to be an image processing expert.

In my experiance, this book is informative and good in the area of computational Holograhpy image processing.
However, the copy of this book that I received from amazon is badly stupid because of its cheap copy and softcover,
even if it is very expansive ($178.49)

For the exprienced image processing engineer few books offer such a treasure of methods.

Yaroslavsky has a life time experience developing image processing systems, and it is very evident in the book. The book is full of very practical methods and is very conscious to computational burden.

Some of the chapters, such as the ones covering nonlinear filters, interpolation and resampling, and fast algorithms for base transforms contributed immensely to the way I think today as an image processing engineer.

The book's english is hard to read, and its technical language and notations are very different from most of the related literature, but the patience was very worthwhile for me.