Запис Детальніше

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

Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)

Переглянути архів Інформація
 
 
Поле Співвідношення
 
Title Using the Properties of Wavelet Coefficients of Time Series for Image Analysis and Processing
 
Creator Lyashenko, V.
Matarneh, R.
Deineko, Z.
 
Subject image
wavelet transform
image processing
wavelet coefficients
 
Description Image processing is used in many fields of knowledge; because it allows to automate processes to get more information about the object being studied. Image processing techniques are many and varied. Wavelet analysis is one of such techniques. Among various methods and approaches of wavelet processing we distinguish the ideology of multiresolution wavelet analysis. The essence of this ideology is to perform wavelet decomposition on test data and the subsequent analysis of the relevant factors of this decomposition (the wavelet coefficients). An important aspect is the consideration of the properties of the wavelet coefficients. Based on this, we have examined the feasibility of using the properties of detailing wavelet coefficients to study and compare different images. We have introduced additional characteristics of images on the basis of sets of detailing wavelet coefficients decomposition. These characteristics reflect the dynamics of change in mean and variance for the detailing of the coefficients of the wavelet decomposition. We have shown that the dynamic changes in mean and variance of detailing coefficients of wavelet decomposition can be used to analyze and compare different images.
 
Date 2018-06-25T10:41:59Z
2018-06-25T10:41:59Z
2016
 
Type Article
 
Identifier Lyashenko V., Matarneh R., Deineko Z. Using the Properties of Wavelet Coefficients of Time Series for Image Analysis and Processing // Journal of Computer Sciences and Applications. –2016. – Vol. 4(2). P. 27-34. DOI: 10.12691/jcsa-4-2-1.
2328-7268
http://openarchive.nure.ua/handle/document/6361
 
Language en
 
Publisher SciEP