sampling and reconstruction
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Sampling and Reconstruction Digital Image Processing How does it - PowerPoint PPT Presentation

Sampling and Reconstruction Digital Image Processing How does it help? Filtering reduces frequency content. Hence, lower sampling is sufficient. Input (256 x 256) Filtered (256 x 256) ANTI-ALIASING Insufficient sampling. Hence, aliasing.


  1. Sampling and Reconstruction Digital Image Processing

  2. How does it help? Filtering reduces frequency content. Hence, lower sampling is sufficient. Input (256 x 256) Filtered (256 x 256) ANTI-ALIASING Insufficient sampling. Hence, aliasing. Subsampled from filtered Subsampled(128 x 128) image(128 x 128) Slide 2 ICS 280: Visual Perception

  3. Sampling – Frequency Domain Convolution f f s -f -f s s s 2 2 - f - f s f f s 2 f 2 f s 3 f s 3 f s s s s - f - f s f f s 2 f 2 f s 3 f 3 f s s s s s Slide 3 ICS 280: Visual Perception

  4. Reconstruction – Frequency Domain - f - f s f f s 2 f s 2 f 3 f s 3 f s s s s -f s -f f s f s s Multiplication 2 2 -f -f s f f s s s Slide 4 ICS 280: Visual Perception 2 2

  5. Reconstruction (Wider Kernel) - f s - f f f s 2 f s 2 f 3 f s 3 f s s s s -f s -f f s f s s PIXELIZATION: Lower 2 2 frequency aliased as high frequency -f -f s f s f s s Slide 5 ICS 280: Visual Perception 2 2

  6. Reconstruction (Narrower Kernel) - f s - f f s f 2 f s 2 f 3 f s 3 f s s s s -f -f s f s f s s BLURRING: Removal of 2 2 high frequencies -f -f s f f s s s Slide 6 ICS 280: Visual Perception 2 2

  7. Aliasing artifacts (Right Width) Slide 7 ICS 280: Visual Perception

  8. Wider Spots (Lost high frequencies) Slide 8 ICS 280: Visual Perception

  9. Narrow Width (Jaggies, insufficient sampling) Slide 9 ICS 280: Visual Perception

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