Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

The recipes are cool, but the book has a poor graphical quality.The images are black and white and at very low resolution. Many of them are just useless, because they are so bad that it is not possible to appreciate the effect of the processing technique being demonstrated.Another serious problem are with the equations. They are not properly type-setted (e.g. with LaTeX) but instead they are printed as images, and since images are really bad in this book, the equations are sometimes unreadable.Now, one could say that the image quality is poor to keep the price of the book low. OK, fair enough. However, there is no excuse to not typeset the equations using a decent tool. This is just disregard with quality.

As a engineer I was looking for a collection of algorithms for computer vision. The table of content has promissing chapters, but stays far behind its depth. The book is only a cookbook which does not go on any details.Pros+ clearly structured content+ compact chaptersCons- Lots of different framework- aweful printing quality (As a book for vision, the picture have not enough resolution to see all or even any details of the algorithm output)- Huge font size (distracting and just lengthens the page numbers)- unexplained figures which just fell that they fill the pages- the "How it works" does not explain the algorithms -> It just rexplains what was done- no colored figures (Can be downloaded form https://static.packt-cdn.com/downloads/9781789537147_ColorImages.pdf)- does not compare the results of different algorithms- does not explain when to use or not to use a certain algorithms- uses a lot of signal procssing terms without giving any backgroundI overall do not recommend to buy the book as a printed format. I will use this book as a refence for quickly finding a python implementation of image processing tool and to see whichs algorithms are available. For a deeper understanding and testing, you have to look somewhere else.