The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many disparate fields such as remote sensing, robotics and medical applications. Wavelet based fusion techniques have been reasonably effective in combining perceptually important image features. Shift invariance of the wavelet t...

The performance of image denoising algorithms using the Double Tree Complex Wavelet Transform, DT CWT, followed by a local adaptive bishrink filter can be improved by reducing the sensitivity of that filter with the local marginal variance of the wavelet coefficients. In this paper is proposed a solution for the sensitivity reduction based on enhanced diversity.

This paper presents a multiscale corner detection method based on continuous wavelet transform (CWT) of contour images. The corner points are detected from the local wavelet transform modulus maxima (WTMM) of the contour orientation. To reduce the side effects of the discretization and smoothing that are introduced by the preprocessing steps, we adopt a simple but efficient post processing algo...

The S transform, which is introduced in this correspondence, is an extension of the ideas of the continuous wavelet transform (CWT), and is based on a moving and scalable localizing Gaussian window. It is shown here to have some desirable characteristics that are absent in the continuous wavelet transform. The S transform is unique in that it provides frequency-dependent resolution while mainta...

A time delay estimation(TDE) method for MIMO systems, using combined continuous wavelet transform(CWT) and cross correlation method, is proposed. By calculating and handling the cross correlation between the CWT coefficients of system input and output data, a series of time delays over scales (frequencies) are calculated and an unbiased estimation is deduced from them. The TDE method under clos...

This paper presents a new image denoising algorithm based on local variance estimation. In the process of denoising, the Wiener filter is used to remove the noise component of the dual-tree complex wavelet transform (DT-CWT) coefficients. The variances of noise-free coefficients are estimated by the DT-CWT coefficients transformed by modified thresholding. The tests show that the proposed metho...

Automatic target detection and recognition (ATR) requires the ability to optimally extract the essential features of an object from (usually) cluttered environments. In this regard, eecient data representation domains are required in which the important target features are both compactly and clearly represented, enhancing ATR. Since both detection and identiication are important, multidimension...

This paper addresses the problem of multiplicative jump detection and estimation in the time-scale plane. The signature is derived for a multiplicative jump in the time-scale plane. The signature allows the study of two wavelet based detectors. The first detector computes the Continuous Wavelet Transform (CWT) correlation with 2D signature. The second detector sums k e d scale slices of the CWT...

Two undecimated forms of the Dual Tree Complex Wavelet Transform (DT-CWT) are introduced and their application to image denoising is described. These undecimated transforms extend the DT-CWT through the removal of downsampling of the filter outputs together with upsampling of the filters in a similar structure to the Undecimated Discrete Wavelet Transform (UDWT). Both the developed transforms o...

During their service life, marine pipelines continually accumulate damage as a result of the action of various environmental forces. Clearly, the development of robust techniques for early damage detection is very important to avoid the possible occurrence of a disastrous structural failure. Most of vibration-based damage detection methods require the modal properties that are obtained from mea...