problem in denoising image by using curvelet transform
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denoising algorithm by using Curvelet Transform:
- Compute all thresholds for cuvelets;
- Compute norm of curvelets;
- Apply curvelet transform to noisy image;
- Apply hard thresholding to the curvelet coefficients; and
- Apply inverse cuvrelet transform to the result of step 4.
I do not understand step 2. In your opinion, Is not more appropriate calculate norm of each curvelet coefficient after the transform image to curvelet. If there is a scientific reason for step 2, please explain. Maybe I just did not notice
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