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- •Image Interpolation
- •Introduction
- •A Sentimental Comment
- •Engineering Motivations
- •Scenario I: Resolution
- •Scenario II: Image Inpainting
- •Scenario III: Image Warping
- •Image Interpolation
- •1D Zero-order (Replication)
- •1D First-order Interpolation (Linear)
- •Linear Interpolation Formula
- •Numerical Examples
- •1D Third-order Interpolation (Cubic)*
- •From 1D to 2D
- •Graphical Interpretation
- •Numerical Examples
- •Numerical Examples (Con’t)
- •Bicubic Interpolation*
- •Limitation with bilinear/bicubic
- •Edge-Sensitive Interpolation
- •NEDI Step 1: Interpolate
- •NEDI Step 2: Interpolate the
- •Geometric Duality
- •Image Interpolation
- •Pixel Replication
- •Bilinear Interpolation
- •Bicubic Interpolation
- •Edge-Directed Interpolation
- •Image Demosaicing
- •Image Example
- •Error Concealment*
- •Image Inpainting*
- •Image Mosaicing*
- •Geometric Transformation
- •Basic Principle
- •Rotation
- •MATLAB Example
- •Rotation Example
- •Scale
- •Affine Transform
- •Affine Transform Example
- •Shear
- •Shear Example
- •Projective Transform
- •Projective Transform Example
- •Polar Transform
- •Iris Image Unwrapping
- •Use Your Imagination
- •Free Form Deformation
- •Application into Image Metamorphosis
- •Summary of Image


Summary of Image
Interpolation
• A fundamental tool in digital |
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processing of images: bridging the |
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continuous world and the discrete |
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world |
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• Wide applications from consumer |
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electronics to biomedical imaging |
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• Remains a hot topic after the IT |
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bubbles break |
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EE465: Introduction to Digital |
51 |
Image Processing |
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