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Shift Theorem (2-D CWT vs QWT)

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Presentation on theme: "Shift Theorem (2-D CWT vs QWT)"— Presentation transcript:

1 Shift Theorem (2-D CWT vs QWT)

2 2-D Hilbert Transform (wavelet)
+1 +j -j Hx Hy Hy +1 -1 +j +1 +1 -j +j -j +1 +j -j +1 Hx

3 2-D complex wavelet 2-D CWT basis functions +1 +j -j +1 +j -j +j -j
45 degree +1 +j -j +j -j -45 degree

4 2-D CWT Other subbands for LH and HL (equation)
[Kingsbury,Selesnick,...] Other subbands for LH and HL (equation) Six directional subbands (15,45,75 degrees) Complex Wavelets

5 Challenge in Coherent Processing – phase wrap-around
y x QFT phase where

6 QWT of real signals QFT Plancharel Theorem: where QFT inner product
real window where People will ask! QFT inner product Proof uses QFT convolution Theorem

7 QWT as Local QFT Analysis
For quaternion basis function : quaternion bases where v u HH subband HL subband LH subband Single-quadrant QFT inner product

8 QWT Edge response   v u Edge QFT: QFT inner product with QWT bases
QWT basis u QFT spectrum of edge Edge QFT: QFT inner product with QWT bases Spectral center:

9 QWT Phase for Edges Behavior of third phase angle:
denotes energy ratio between positive and leakage quadrant Frequency leakage / aliasing Shift theorem unaffected v positive quadrant S1 u leakage quadrant leakage

10 QWT Third Phase Behavior of third phase angle
Mixing of signal orientations Texture analysis


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