In this paper, a new satellite image contrast enhancement technique based on s Atrous wavelet transform and singular value decomposition (SVD) has been proposed. To obtain shift invariant discrete wavelet transform decomposition for images, we introduced the discrete wavelet transform known a “A trous” algorithm to decompose the image into wavelet planes which is computed as the difference betw...

In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral information. The basic idea is to build a segmented label image by statistical region merging and minimum heterogeneity rule (SRMMHR) segmentation method to guide the object-based image fusion (OBIF). Ther...

We seek to demonstrate a connection between refinable quasi-affine systems and the discrete wavelet transform known as the à trous algorithm. We begin with an introduction of the bracket product, which is the major tool in our analysis. Using multiresolution operators, we then proceed to reinvestigate the equivalence of the duality of refinable affine frames and their quasiaffine counterparts a...

Speckle is a troublesome noise, disturbing radar SAR image interpretation and target classification. For reduction of speckle, numerous speckle filters have been proposed. Both suppression of speckle in a uniform area and preservation of edges have been pursued in these filters. In these years, the wavelet transformation is widely applied to images analysis, where the multi-resolution analysis ...

We survey a number of applications of the wavelet transform in time series prediction. The Haar à trous wavelet transform is proposed as a means of handling time series data when future data is unknown. Results are exemplified on financial futures and S&P500 data. Nonlinear and linear multiresolution autoregression models are studied. Experimentally, we show that multiresolution approaches can ...

To verify the features of an object or an area, there is a need to merge panchromatic images with high spatial resolution and multispectral images with high spectral resolution. Standard fusion methods like IHS transform are not satisfactory, because they distort spectral characteristics of the multispectral data. In wavelet methods, the aim is to decompose the image into subbands, which have t...

In this work we present a novel application to the multiscale denoising algorithm proposed by Sita & Ramakrishnan [1]. We used it to filter artificially contaminated images by multiplicative speckle and additive Gaussian noise, respectively. This filtering scheme is a combination of the shift invariant discrete wavelet and nonlinear filtering applied to evoked potential signals. It employs a re...

The information which is contained in the multi-spectral and SAR images have different characteristic. Multi-spectral images contain a great deal of spectral information, whereas SAR images contain rich texture information, such as buildings and road network. SAR and TM images fusion based on the wavelet transform ensure the fusion image showing more spatial detail, not only conserving the spec...