In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture radar images, which uses combination of undecimated wavelet transformation, wiener filter (which is an adaptive filter) and mean filter. Further more instead of using existing thresholding techniques such as sure shrinkage, Bayesian shrinkage, universal thresholding, normal thresholding, visu thr...

In this paper, Generalised Gaussian PDFs are tailored to wavelet detail coefficients of both reflectivity and speckled intensity images. A MAP solution is derived from statistics calculated in the image domain by exploiting the fact that undecimated wavelet coefficients are given by convolving the image with a linear shift-invariant equivalent filter. Extensive experiments and comparisons demon...

Two wavelet-based noise reduction methods are discussed here. First, we improve the tradtional spatially selective noise filtration technique proposed by Xu et al. Second, we introduce a new thresholdbased denoising algorithm based on undecimated discrete wavelet transform. Simulations and comparisons are given.

Kashin-Beck disease (KBD) is a degenerative osteoarticular disease of unknown etiology. The management of KBD would benefit from the identification of the biomarkers related to this disease. In this study, mass spectrometry (MS)-based proteomic profiling was used to identify potential biomarkers of the disease. One hundred and sixteen serum samples of KBD cases and healthy controls were collect...

A useful technique in various applications of remote sensing involves the fusion of panchromatic and multispectral images. Wavelet-based approaches to image fusion generally produce high-quality spectral content in fused images. However, the spatial resolution obtained by most wavelet-based methods is less than that obtained by the intensity-hue-saturation (IHS) method. Recent studies show that...

The statistics of the temperature anisotropies in the primordial cosmic microwave background radiation field provide a wealth of information for cosmology and for estimating cosmological parameters. An even more acute inference should stem from the study of maps of the polarization state of the CMB radiation. Measuring the extremely weak CMB polarization signal requires very sensitive instrumen...

Morphological Component Analysis (MCA) is a new method which takes advantage of the sparse representation of structured data in large overcomplete dictionaries to separate features in the data based on the diversity of their morphology. It is an efficient technique in such problems as separating an image into texture and piecewise smooth parts or for inpainting applications. The MCA algorithm c...

Received Nov 11, 2017 Revised Jan 15, 2018 Accepted Feb 1, 2018 License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is use...

A new nonlinear noise reduction method is presented that uses the discrete wavelet transform. Similar to Donoho and Johnstone, we employ thresholding in the wavelet transform domain but, following a suggestion by Coifman, we use an undecimated, shift-invariant, nonorthogonal wavelet transform instead of the usual orthogonal one. This new approach can be interpreted as a repeated application of ...