Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms

Front Cover
This reference presents a more efficient, flexible, and manageable approach to unitary transform calculation and examines novel concepts in the design, classification, and management of fast algorithms for different transforms in one-, two-, and multidimensional cases. Illustrating methods to construct new unitary transforms for best algorithm selection and development in real-world applications, the book contains a wide range of examples to compare the efficacy of different algorithms in a variety of one-, two-, and three-dimensional cases. Multidimensional Discrete Unitary Transforms builds progressively from simple representative cases to higher levels of generalization.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Basic Concepts and Notation
1
Discrete Transform Tensor Representations
33
Discrete Transform Paired Representations
91
Multiple Paired Unitary Transforms
147
Analysis and effective computing procedures
221
Fast 2D Discrete Unitary Transforms
295
Paired Algorithms
385
Applications of Paired Transformations
413
Image Enhancement by Paired Transforms
441
Image Reconstruction from Projections by Paired Transforms
475
Index
519
Copyright

Other editions - View all

Common terms and phrases

Popular passages

Page 471 - Ji, MK Sundareshan, and H. RoeHrig, "Adaptive image contrast enhancement based on human visual properties.

About the author (2003)

Sos S. Agaian is Full Professor, College of Engineering, University of Texas at San Antonio, and Adjunct Professor in the Department of Electrical Engineering, Tufts University, Medford, Massachusetts.

Bibliographic information