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FEDRA, P., PROVAZNÍK, I.
Original Title
Complex-Valued Wavelets for Edge Enhancement in Medical Images
Type
conference paper
Language
English
Original Abstract
It is often needed to accurately expand images without loss of clarity in a number of medical image processing applications. Traditional methods such as bilinear interpolation and cubic spline interpolation tend to smooth out edge regions and result in blurry images. To deblur the expanded images one could use the approach of unsharp masking, other methods include modeling the edges or filtering with nonlinear filters. The development of enhancement techniques for medical imaging is highly influenced by strong requirements: (1) diagnostic quality of images should be kept, (2) no disturbing information should be added, and (3) the image processing should be fast. Also, the problem of zooming-in is further specified by the requirement of preserving sharp edges.
Keywords
complex-valued wavelets, image enhancement
Authors
RIV year
2002
Released
4. 12. 2002
Publisher
Verlag der Technischen Universitat Graz, Austria
Location
Vienna, Austria
ISBN
3-901351-62-0
Book
IFMBE Proceedings - 2nd European Medical and Biological Engineering Conference EMBEC'02
Pages from
950
Pages to
951
Pages count
2
BibTex
@inproceedings{BUT5642, author="Petr {Fedra} and Valentine {Provazník}", title="Complex-Valued Wavelets for Edge Enhancement in Medical Images", booktitle="IFMBE Proceedings - 2nd European Medical and Biological Engineering Conference EMBEC'02", year="2002", pages="2", publisher="Verlag der Technischen Universitat Graz, Austria", address="Vienna, Austria", isbn="3-901351-62-0" }