Wavelet De-Noising and Gradient Enhancement in Biomedical Image Processing

A. Prochzka, E. Hotlkov, and O. Vyata (Czech Republic)


Image de-noising, discrete wavelet transform, gradient en hancement, biomedical image processing


Detection of specific image components, their visualization and classification belong to main topics of biomedical im age processing. The paper is devoted to problems related to the use of discrete wavelet transform (DWT) and the dual tree complex wavelet transform (DTCWT) for image de noising and to selected methods of its enhancement. The study presents the analysis of results achieved for different wavelet functions and the following application of gradient methods for specific image components detection. The in formation content of final images is followed both from the medical point of view using the previous experience and numerically through the analysis of image spectral compo nents. The proposed methods indicate the efficiency of the dual-tree complex wavelet transform use in this area.

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