Digital Image Processing Textbook with Specific Topics

Question

I am looking for a Digital Image Processing and analysis textbook, but there are specific topics that I would like the book to cover. Among other topics, I would like it to include a discussion of:

• (Orthonormal) basic functions
• Mahalanobis distance
• Subspaces
• Image registration
• Error accumulation
• Background estimation

What textbook(s) would you recommend? I imagine this lack of a direct question is the reason for the two unhelpful downvotes.

Answer 1

A fundamental book on image processing for electrical engineers is

• Jae S. Lim - Two-Dimensional Signal and Image Processing

A highly recommended one, again, for electrical engineers is

• Anil Jain - Fundamentals of Digital Image Processing

A hands-on book on basic practical image processing is

• Wilhelm Burger - Principles of Digital Image Processing

If specifically looking for machine vision, then have a look at

• Bernd Jahne - Digital Image Processing.

Answer 2

This is the list I'd recommend:

• Rafael C. Gonzalez, Richard E. Woods - Digital Image Processing
  Great introductory book. Well written, a lot of examples. Though it is not deep in any of the fields.
• Alan C. Bovik - The Essential Guide to Image Processing
  A comprehensive book on many image processing related subjects. A Great book to skim through.
• Richard Szeliski - Computer Vision - Algorithms and Applications
  Advanced book with many state of the art (Non Deep Learning) algorithms in Computer Vision. A great book. It is available on line for free.