APPLYING WAVELET RECURSIVE TRANSLATION-INVARIANT TO WINDOW LOW-PASS FILTERED IMAGES-Reference-Cited by-同舟云学术

APPLYING WAVELET RECURSIVE TRANSLATION-INVARIANT TO WINDOW LOW-PASS FILTERED IMAGES

Published:2004-03 Issue:01 Volume:02 Page:99-110
ISSN:0219-6913
Container-title:International Journal of Wavelets, Multiresolution and Information Processing
language:en
Short-container-title:Int. J. Wavelets Multiresolut Inf. Process.

Author:

ISMAIL I. A.¹,NABIL TAMER²

Affiliation:

1. Computer Science Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt

2. Basic Science Department, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

Abstract

This work gives an algorithm that makes up for the many iterations and the loss of some main features encountered in the usual methods of wavelet transform filtering. The wavelet transform technique is merged with the window low-pass method. The results are acceptable.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219691304000378

Reference8 articles.

1. De-noising by soft-thresholding

2. Translation-Invariant De-Noising

3. Ten Lectures on Wavelets

4. Adapting to Unknown Smoothness via Wavelet Shrinkage

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