Noise will be unavoidable during image acquisition process and denosing is an essential step to improve the image quality. Image denoising involves the manipulation of the image data to produce a visually high quality image. Finding efficient image denoising methods is still valid challenge in image processing. Wavelet denoising attempts to remove the noise present in the imagery while preservi...

Let X,, , X, be a sequence of independent and identically distributed random variables with an unknown underlying continuous cumulative distribution function F. Relative to this unknown distribution function suppose one would like to test a null hypothesis concerning the goodness of fit of F to some distribution function using symmetric functions of sample spacings. In some applications the nul...

June 1, 2010 Version 0.7-0 Date 2010-04-07 Title Non-supervised Regional Frequency Analysis Author Alberto Viglione Maintainer Alberto Viglione Depends stats, graphics Description A collection of statistical tools for objective (non-supervised) applications of the Regional Frequency Analysis methods in hydrology. The package refers to the index-value method and, mo...

It seems to be a platitude that belief is governed by a norm of truth. Isn’t the point of belief to believe truths ? Isn’t it a requirement of believing that we should not believe falsehoods? A number of philosophers, however, deny this. Although they recognise that there is an intimate connection between belief and truth, they reject the idea that this connection is normative. Indeed, they tel...

MESERVEY, R., 1971. The coastline fit of Africa and South America. Palaeogeography, Palaeoclimatol., Palaeoecol., 9: 233-243. It has become axiomatic that the pre-drift reconstruction of Africa and South America is to be made by fitting together the continental shelves. Although this procedure is very plausible, actually the detailed fit of the coastlines is better than that of the shelves and ...

Mammographic images are used for detection of breast cancer in women. In this paper denoising algorithms for mammographic images in wavelet domain are considered. A modified approach for denoising of mammographic images using Diversity Enhanced Wavelet Transform has been proposed. Diversity of the Wavelet Transform is enhanced by taking different mother wavelets and different number of levels t...

Image denoising as a pre-processing stage is a used to preserve details, edges and global contrast without blurring the corrupted image. Among state-of-the-art algorithms, block shrinkage denoising is an effective and compatible method to suppress additive white Gaussian noise (AWGN). Traditional NeighShrink algorithm can remove the Gaussian noise significantly, but loses the edge information i...