๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Selective noise filtration of image signals using wavelet transform

โœ Scribed by Okechukwu C. Ugweje


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
424 KB
Volume
36
Category
Article
ISSN
0263-2241

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Noise decomposition in random telegraph
โœ Fabio Principato; Gaetano Ferrante ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 658 KB

By using the continuous wavelet transform with Haar basis the second-order properties of the wavelet coefficients are derived for the random telegraph signal (RTS) and for the 1=f noise which is obtained by summation of many RTSs. The correlation structure of the Haar wavelet coefficients for these

Design of a field programmable gate arra
โœ J. Carletta; G. Giakos; N. Patnekar; L. Fraiwan; F. Krach ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 324 KB

In this study, the design of a low-cost, field programmable gate array (FPGA)-based digital hardware platform that implements wavelet transform algorithms for real-time signal de-noising of optical imaging signals is presented. The proposed digital hardware de-noising platform can achieve a throughp

Segmentation of SAR images using the wav
โœ Li-Jen Du; Jong-Sen Lee; Karl Hoppel; Stephen A. Mango ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 828 KB

Multiresolution representation of images using the wavelet transform is a new approach for the analysis of image information content. The transform can be computed efficiently by a pyramidal algorithm based on convolution with quadrature mirror filters. The result is a set of subband images which co