Wavelet-based method for image filtering using scale-space continuity

Claudio R. Jung; Jacob Scharcanski

doi:10.1117/1.1351170

1 April 2001 Wavelet-based method for image filtering using scale-space continuity

Claudio R. Jung, Jacob Scharcanski

Journal of Electronic Imaging, Vol. 10, Issue 2, (April 2001). https://doi.org/10.1117/1.1351170

This paper proposes a novel technique to reduce noise while preserving edge sharpness during image filtering. This method is based on the image multiresolution decomposition by a discrete wavelet transform, given a proper wavelet basis. In the transform space, edges are implicitly located and preserved, at the same time that image noise is filtered out. At each resolution level, geometric continuity is used to preserve edges that are not isolated. Finally, we compare consecutive levels to preserve edges having continuity along scales. As a result, the proposed technique produces a filtered version of the original image, where homogeneous regions appear separated by well-defined edges. Possible applications include image presegmentation and image denoising.

©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Claudio R. Jung and Jacob Scharcanski "Wavelet-based method for image filtering using scale-space continuity," Journal of Electronic Imaging 10(2), (1 April 2001). https://doi.org/10.1117/1.1351170

Published: 1 April 2001

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