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Interpolation

This document discusses interpolation techniques, specifically the tent and Gaussian filters, utilized in image processing tasks such as rotation and skewing. The tent filter is defined and computed using the provided values, while the Gaussian filter parameters are also derived. Both methods are essential for achieving smooth transitions between pixel values in images. Additionally, normalization of data is highlighted as crucial for ensuring that outputs maintain relative integrity. The results and sequences from these algorithms are presented for clarity.

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Interpolation

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  1. Interpolation 1……2…….1………3 H = 0.5 1 1 0.5 Result x 1 1 x x 22 x x 11 x ….x 33 x

  2. Simples interpolation is the tent filter • Tent [ 0.5 1 0.5] / sum(filter) • gauss [ 0.005 0.1 0.5 1 0.5 0.1 0.005] • Seq = [ 0 10 0 5 0 ] • Res = [ 0 5 10 7.5 5 2.5 0] • They should be normalized

  3. Assingment CG 14 • Implemnt interpolation with tent or gauss. • For image rotate or skew

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