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Why we need shift-invariance

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Presentation on theme: "Why we need shift-invariance"— Presentation transcript:

1 Why we need shift-invariance
Misregistration High fused image quality

2 What is Shift-Invariant

3 What’s advantage? Laplacian DWT db SIDWT (Harr) DTCWT

4 Shift Invariant Wavelet Transform
There are a number of possible solutions to the shift variance problem. Most of them fall into two parts: a) Limit the sub-band subsampling (SIDWT, PSDWT) b) Minimizing shift variance is to build two wavelet decomposition trees.

5 Example: Morph DWT db DTCWT Average PCA

6 Example: (con) Average PCA Morph Laplacian DWT db DTCWT

7 Example: (Con) Conclusion:
Comparing with the DWT transform, Shift-invariant wavelet transform can provide better quality and higher robust.


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