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   -> Volume 7, Issue 7

Question: experience with multiscale-edges-based image processing?
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Fabio Boschetti (

PostPosted: Thu Jul 02, 1998 3:01 am    
Subject: Question: experience with multiscale-edges-based image processing?
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#10 Question: experience with multiscale-edges-based image processing?

I have been playing with image reconstruction from multiscale edges,
using Mallat's algorithm (see Mallat and Zhong, 1992) and it works
very well.

My next step is trying to remove/enhance local features in an image by
removing/enhancing the corresponding multiscale edges. For my
knowledge, this technique has been used to denoise and enhance medical
images. For denoising purpose, the small edges are eliminated and the
image then reconstructed. For image enhancement, all the edges are
multiplied by some factor and then the image reconstructed. At least
this is my understanding.

What I am trying to do is to remove or enhance specific features,
whilst leaving the remaning mutliscale edges untouched. My first
results are a bit contradictory and in general not too successfull. It
appears that 1) manipulating some multiscale edges and not others
impose a strong distorsion on the wavelet representation and
consequently the recovered image look quite different from the
original one even in the untouched features. 2) the multiscale edges
corresponding to some features contain information related to adjacent
features as well, and, as such, can not be considered 'local'. This is
an obvious observation but I did not expect it to affect the
reconstruction too much.

I was wondering whether any of you had experience with this problem
and can send me any comments..

Thank you very much in advance.


Dr. Fabio Boschetti

Research Scientist
CSIRO - Division of Exploration and Mining
39 Fairway, Nedlands 6009
PO Box 437, Nedlands 6009
Western Australia

email -
Web page -

Tel (w) ++61 8 9284 8421
(h) ++61 8 9284 3282
Fax (w) ++61 8 9389 1906
All times are GMT + 1 Hour
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