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Image Processing with Complex Daubechies Wavelets

Journal of Mathematical Imaging and VisionPublished 1 June 1997
Jean‐Marc Lina
Citations75
SJR quartileQ2
SJR score0.49
SNIP1.10

TL;DR

Two applications in image processing: enhancement and restoration are discussed; the efficiency of this multiscalerepresentation relies on the information encoded in the phase of thecomplex wavelet coefficients.

Abstract

Analyses based on Symmetric Daubechies Wavelets (SDW) lead tocomplex-valued multiresolution representations of real signals.After a recall of the construction of the SDW, we present somespecific properties of these new types of Daubechies wavelets. Wethen discuss two applications in image processing: enhancement andrestoration. In both cases, the efficiency of this multiscalerepresentation relies on the information encoded in the phase of thecomplex wavelet coefficients.

Keywords

Computer ScienceEarth and Planetary SciencesEngineering