PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: confidence

Upsampling and Interpolation

CSC320: Introduction to Visual ComputingMichael GuerzhoyMany slides from Steve Marschner, Alexei Efros, Noah SnavelyUpsampling and InterpolationNearest-neighbor interpolationhq3x Interpolation (ZSNES) time: Non-Maximum SuppressionAt q, we have a maximum if the value is larger than those at both p and at r. Interpolate to get these : D. ForsythInterpolation See blackboardBilinear Interpolation : SummaryBilinear Interpolation Not actually linear If you fix xit s linear in y. If you fix y, it s linear in This image is too small for this screen: How can we make it 10 times as big? Simplest approach:repeat each rowand column 10 times ( Nearest neighborinterpolation )Image interpolationRecall how a digital image is formed It is a discrete point-sampling of a continuous function If we could somehow reconstruct the original function, any new image could be generated, at any resolution and scale 12345 Adapted from: S.

Adapted from: S. Seitz. Image interpolation “Ideal” reconstruction Nearest-neighbor interpolation Linear interpolation Gaussian reconstruction Source: B. Curless. Reconstruction filters • What does the 2D version of this hat function look like? Better filters give better resampled images

Loading..

Tags:

  Seitz

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of Upsampling and Interpolation

Related search queries