A Practical Approach To Frequency Domain Image Enhancement Methods
Quality Assessment of Digital Images
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The book presents a unique overview of recent as well as traditional image enhancement methods. We have demonstrated practical examples of frequency domain image enhancement techniques. Most of the book is related to 2D images but generalization to 3D is also shown in most cases. Automatic object recognition has become an established discipline inside image analysis. Moments and moment invariants play a very important role as features in invariant recognition. Our main purpose in writing this book was to bridge this gap between theoretical concepts and practical implementations of image enhanc...
The book presents a unique overview of recent as well as traditional image enhancement methods. We have demonstrated practical examples of frequency domain image enhancement techniques. Most of the book is related to 2D images but generalization to 3D is also shown in most cases. Automatic object recognition has become an established discipline inside image analysis. Moments and moment invariants play a very important role as features in invariant recognition. Our main purpose in writing this book was to bridge this gap between theoretical concepts and practical implementations of image enhancement techniques. In this book, the reader finds both a survey of all important theoretical results as well as a description of how to use them in various image processing applications. The target readership of the book is academic researchers and R&D engineers from all application areas who need to work with 2D images extracted from binary/gray level/color images. The book is also intended for university lecturers and graduate students of image analysis and pattern recognition.
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