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What is Pyramid Image Processing
Pyramid, or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and subsampling. Pyramid representation is a predecessor to scale-space representation and multiresolution analysis.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Pyramid (image processing)
Chapter 2: Scale-invariant feature transform
Chapter 3: Gabor filter
Chapter 4: Scale space
Chapter 5: Gaussian blur
Chapter 6: Feature (computer vision)
Chapter 7: Difference of Gaussians
Chapter 8: Corner detection
Chapter 9: Structure tensor
Chapter 10: Mean shift
(II) Answering the public top questions about pyramid image processing.
(III) Real world examples for the usage of pyramid image processing in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Pyramid Image Processing.
Pyramid, or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and subsampling. Pyramid representation is a predecessor to scale-space representation and multiresolution analysis.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Pyramid (image processing)
Chapter 2: Scale-invariant feature transform
Chapter 3: Gabor filter
Chapter 4: Scale space
Chapter 5: Gaussian blur
Chapter 6: Feature (computer vision)
Chapter 7: Difference of Gaussians
Chapter 8: Corner detection
Chapter 9: Structure tensor
Chapter 10: Mean shift
(II) Answering the public top questions about pyramid image processing.
(III) Real world examples for the usage of pyramid image processing in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Pyramid Image Processing.
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