Digital Image Processing: Fundamentals and Applications

· One Billion Knowledgeable · AA bidezko narrazioa, Mason narratzailearen ahotsarekin (Google-koa)
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What Is Digital Image Processing


The processing of digital photographs by means of an algorithm on a digital computer constitutes the field of digital image processing. Digital image processing, which is a subsection or field of digital signal processing, has numerous advantages over analog image processing, which is another type of image processing. It makes it possible to apply a much wider variety of algorithms to the data that is being entered and can help solve problems like the accumulation of noise and distortion as the data is being processed. Digital image processing can be described as multidimensional systems due to the fact that images are specified over two dimensions. The creation of digital image processing and its subsequent development are primarily influenced by three factors: first, the development of computers; second, the development of mathematics; and third, the increased demand for a diverse array of applications in the fields of environment, agriculture, military, industry, and medical science.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Digital image processing


Chapter 2: 2D computer graphics


Chapter 3: Affine transformation


Chapter 4: YIQ


Chapter 5: Sobel operator


Chapter 6: Canny edge detector


Chapter 7: Noise reduction


Chapter 8: Discrete wavelet transform


Chapter 9: Scale-invariant feature transform


Chapter 10: Gaussian blur


(II) Answering the public top questions about digital image processing.


(III) Real world examples for the usage of digital image processing in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of digital image processing' technologies.


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 digital image processing.

Egileari buruz

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). 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 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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Narratzailea: Mason