Using the Properties of Wavelet Coefficients of Time Series for Image Analysis and Processing

• DOI: 10.12691/jcsa-4-2-1
• Publication Date: 2016-08-16
• Authors: Vyacheslav Lyashenko; Rami Matarneh; Zhanna Deineko
• Keywords: Cascade algorithm; Stationary wavelet transform; Second-generation wavelet transform; Multiresolution analysis

Image processing is used in many fields of knowledge; because it allows to automate processes get more information about the object being studied. techniques are and varied. Wavelet analysis one such techniques. Among various methods approaches wavelet we distinguish ideology multiresolution analysis. The essence this perform decomposition on test data subsequent relevant factors (the coefficients). An important aspect consideration properties coefficients. Based this, have examined feasibility using detailing coefficients study compare different images. We introduced additional characteristics images basis sets decomposition. These reflect dynamics change mean variance for shown that dynamic changes can be analyze