4-Tap Wavelet Filters Using Algebraic Integers
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : Sravya.K, V.Santhosh Kumar
|DOI : 10.14445/22315381/IJETT-V25P215|
Sravya.K, V.Santhosh Kumar"4-Tap Wavelet Filters Using Algebraic Integers", International Journal of Engineering Trends and Technology (IJETT), V25(2),82-88 July 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
An Image is often corrupted by noise in its acquisition or transmission. The goal of denoising is to remove the noise while retaining as much as possible the important signal features. Traditionally, this is achieved by linear processing such as Wiener filtering. A vast literature has emerged recently on signal denoising using nonlinear techniques, in the setting of additive white Gaussian noise. The seminal work on signal denoising via wavelet thresholding have shown that various wavelet thresholding schemes for denoising have near-optimal properties in the minimax sense and perform well in simulation studies of one-dimensional curve estimation. It has been shown to have better rates of convergence than linear methods for approximating functions. Thresholding is a nonlinear technique, yet it is very simple because it operates on one wavelet coefficient at a time. Alternative approaches to nonlinear wavelet-based denoising can be found in, for example and references therein.
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Wavelet, Filter, 4 tap