Engineering

• treats digital image processing as a tool for solving practical problems, rather than as a discipline in itself.

• concentrates on the fundamental techniques that have proven to be the most important and useful in solving real-world problems.

• develops the techniques in sequential order of mathematical complexity.

• presents techniques in a straightforward manner, considering for each technique:

  • the theoretical background required for understanding the technique.

  • a description of the technique and discussion of its applications, limitations, and performance.

  • an illustration and worked-example of its use.

• stresses consistent definitions throughout.

  • NEW—provides a summary of mathematical background and a comprehensive glossary.

• adds discussions of color, image compression, user interfaces, software development project management, Wavelet Transforms.

• expands discussions of analysis of digital imaging systems performance, optics, pattern recognition, image recording and display, CCD cameras and 3-D imaging.

• contains Summary of Important Points, Problems and Class Project suggestions at the end of each chapter.

  • Problems focus on the application of the tools to real situations, and provide insight into when different techniques are useful, and when they might fail.

I.

II.

III.

APPENDICES.

Image and Computer Vision  [CORE TEXTS]   (Electrical and Computing Engineering)
Image Processing  (Computer Science)

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