Bilinear Interpolation: Enhancing Image Resolution and Clarity through Bilinear Interpolation

· Computer Vision 134. raamat · One Billion Knowledgeable · AI etteloetav Maxwell (Google'ilt)
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What is Bilinear Interpolation


In mathematics, bilinear interpolation is a method for interpolating functions of two variables using repeated linear interpolation. It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of arbitrary convex quadrilaterals.


How you will benefit


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


Chapter 1: Bilinear interpolation


Chapter 2: Interpolation


Chapter 3: Linear interpolation


Chapter 4: Polynomial interpolation


Chapter 5: Newton polynomial


Chapter 6: Lagrange polynomial


Chapter 7: Spline interpolation


Chapter 8: Cubic Hermite spline


Chapter 9: Trilinear interpolation


Chapter 10: Bicubic interpolation


(II) Answering the public top questions about bilinear interpolation.


(III) Real world examples for the usage of bilinear interpolation 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 Bilinear Interpolation.

Teave autori kohta

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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