Basic principles of image processing and programming explained without college-level mathematics. 
This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects.
The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game.
The PixelMath software provides a “transparent” view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs (Mit Press)

Computers & Technology

Tanimoto, Steven L.

Programming Languages

The MIT Press

The Elements of Artificial Intelligence Using Common LISP (Principles of Comp...

The Elements of Artificial Intelligence Using Common LISP (Principles of Computer Science Series)

Reference

Computer Science Press

This text provides an introductory-level overview of artificial intelligence (AI). It features clear presentation of principles integrated with short, workable programs which are designed to help students to learn by experimentation and to develop an intuitive understanding of the subject. The book features: expression of AI theory in programs written with common LISP, the established standard for the field; new chapters on common sense reasoning and neural networks; new sections on global variables, LISP structures, LISP association lists, iterative deepening, constructing decision trees, genetic algorithms and embedded AI; expanded coverage of expert systems; updated programming style in example programs, plus many new example programs; and coverage of additional Common LISP features.

The Elements of Artificial Intelligence Using Common Lisp

Computer Science

W.H.Freeman & Co.

Elements of Artificial Intelligence: Introduction Using LISP (Principles of computer science series)

The elements of artificial intelligence: An introduction using LISP (Principles of computer science series)

Computer Sci. Press

See the best price to sell, buy, or rent books by Tanimoto, Steven L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Tanimoto, Steven L.

See the best price to sell, buy, or rent books by Tanimoto, Steven L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs (Mit Press)

The Elements of Artificial Intelligence Using Common LISP (Principles of Computer Science Series)

The Elements of Artificial Intelligence Using Common Lisp

The elements of artificial intelligence: An introduction using LISP (Principles of computer science series)