Pyramid Image Processing: Exploring the Depths of Visual Analysis

Fouad Sabry

May 2024 · Computer Vision Book 53 · One Billion Knowledgeable

About this ebook

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.

About the author

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.