Interpolation Techniques and Image Transformation
Learn about Interpolation Techniques and Image Transformation in this free online course.
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CertificationView course modules
This course begins by introducing you to the concept of interpolation and image transformation. You will learn the meaning of interpolation, interpolation operations, when the interpolation operation is required and the desirable properties of interpolation. These properties of interpolation include having a finite region of support, smooth without discontinuity and shift-invariance. In addition, you will learn how to write algorithms for different image transformations.
Next, the course then introduces B-spline interpolation functions. You will also learn about constant interpolation, linear interpolation, cubic interpolation along with illustration rotation. You will learn about the meaning of image transformation and unitary transformations. Furthermore, you will also learn what is meant by orthogonal and orthonormal basis vectors, along with gaining an understanding of how an arbitrary image can be represented by series summation of orthonormal basis images.
Finally, the course discusses the concept of Fourier transformation, which is a specific case of unitary transformation. It explains the concepts of Fast Fourier Transform and Fourier transformation both in the continuous domain as well as the discrete domain. You will basically identify the important properties of the Fourier transformation operation, including separability and translation properties.Start this course today, and gain valuable knowledge in image interpolation techniques and transformation.Start Course Now
Interpolation and Image Transformation
Interpolation and Image Transformation - Learning Outcomes
Stereo Imaging Model - II
Interpolation and Resampling
Interpolation with Examples - I
Interpolation with Examples - II
Interpolation and Image Transformation - Lesson Summary
Image and Fourier Transformation
Image and Fourier Transformation - Learning Outcomes
Orthogonal and Orthonomal Vectors
Properties of Fourier Transformation
FT Result Display
Upon successful completion of this course, you will be able to:
Explain interpolation operations
Explain when interpolation operation is needed
Describe how to write algorithms for image interpolation
Outline the simple and modified interpolation formulae
Outline five basic categories of transformations
Explain three applications of image transformation
Explain Orthogonal and Orthonormal Basis Vectors
Outline the steps involved in writing algorithms for Fast Transform
Discuss the meaning of Fourier Transform
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