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The Use of Wavelets for Noise Detection in the Images Taken by the Analog and Digital Photogrammetric Cameras
Noise Wavelets Transform Decomposition Detail Component Kurtosis Variance
2015/11/20
In the paper the use of wavelet transformation for valorization of random noise content in photogrammetric images is proposed. There were two wavelets indicators studied. The first indicators based on...
The Effects of Different Types of Wavelets on Image Fusion
fusion integration multiresolution
2015/7/9
Image fusion is a tool for integrating a high-resolution panchromatic image with a multispectral image, in which the
resulting fused image contains both the high-resolution spatial information of the...
Multi-Temporal Analysis of Remotely Sensed Information Using Wavelets
Land Use/Cover Change Disturbs Vegetation Dynamic MODIS NDVI Series Wavelet Transform
2013/3/5
Land cover changes (LCC) are an important component of Global Change. LCC can be described not only by its occurrence, but also by the land cover replacement, causal agent and change duration or recup...
Comparison of daubechies wavelets for hurst parameter estimation
Daubechies wavelets fractional gaussian noise hurst estimation vanishing moment
2010/10/12
Time scale dependence on the working nature of wavelet analysis makes it a valuable tool for Hurst parameter estimation. Similar to other wavelet-based signal processing applications, the selection of...
Extraordinary optical transmission by interference of diffracted wavelets
extraordinary optical transmission diffraction
2011/5/9
The phenomenon of extraordinary optical transmission is drawing much attention of researchers
because of its potential applications in diverse emerging areas. In the present work, experimental
obser...
A DISTORTION INPUT PARAMETER IN IMAGE DENOISING ALGORITHMS WITH WAVELETS
Signal Processing denoising filtering
2010/1/11
The problem of image denoising based on wavelets is considered. The paper
proposes an image denoising method by imposing a distortion input parameter instead
of threshold. The method has two algorit...
AN ALGORITHM FOR THRESHOLDING IN THE CONTEXT OF SIGNAL DENOISING WITH WAVELETS
signal processing analysis denoising filtering
2010/1/11
The problem of estimating a signal corrupted by additive noise has been of
interest to many researchers for practical as well as theoretical reasons. Wavelet based
methods have become increasingly p...