Noise Reduction: Enhancing Clarity, Advanced Techniques for Noise Reduction in Computer Vision

· Computer Vision Ibhuku elingu-4 · One Billion Knowledgeable · Kulandiswa nge-AI ngu-Maxwell (kusukela ku-Google)
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What is Noise Reduction


Noise reduction is the process of removing noise from a signal. Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability of a circuit to isolate an undesired signal component from the desired signal component, as with common-mode rejection ratio.


How you will benefit


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


Chapter 1: Noise reduction


Chapter 2: Dolby noise-reduction system


Chapter 3: Dbx (noise reduction)


Chapter 4: Digital image processing


Chapter 5: Image noise


Chapter 6: Wavelet


Chapter 7: Difference of Gaussians


Chapter 8: Bilateral filter


Chapter 9: Non-local means


Chapter 10: Block-matching and 3D filtering


(II) Answering the public top questions about noise reduction.


(III) Real world examples for the usage of noise reduction 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 Noise Reduction.

Mayelana nomlobi

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.

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