In this paper, we propose a novel method for facial feature extraction using the directional multiresolution decomposition offered by the complex wavelet transform. The dual-tree implementation of complex wavelet transform offered by Selesnick is used (DT-DWT(S)) [I.W., Selesnick, R.G. Baraniuk, N.C. Kingsbury, The dual-tree complex wavelet transform, IEEE Signal Processing Magazine, 6, s.l., I...

This paper concerns the issue of wavelet analysis of signals by continuous and discrete wavelet transforms (CWT – Continous Wavelet Transform, DWT – Discrete Wavelet Transform). The main goal of our work was to develop a program which, through the CWT and the DWT analyses, would obtain graph of time-scale changes and would transform it into the spectrum, that is a graph of frequency changes. In...

The wavelet transform has emerged as a cutting edge technology, in the field of image compression. Wavelet-based coding provides substantial improvements in picture quality at higher compression ratios. In this paper an approach is proposed for the compression of an image using 5/3(lossless) Integer discrete wavelet transform (DWT) for Image Compression. The proposed architecture, based on new ...

The Discrete Wavelet Transform (DWT) has two parameters: the mother of wavelets and the number of iterations. Selecting different parameters for different DWT of the same signal, different energy concentrations in the wavelet domain are obtained. So, for a particular signal there is a better pair of parameters that realizes the best energy concentration in the wavelet transform domain. In appli...

The reversible data hiding algorithms based on complex wavelet transform (DD DT DWT) and wavelet-like transform (SLT) using the Companding technique with self-synchronizing variable length code (T-codes) and AES is presented in this paper. A Comparative study is done with the existing algorithm based on DWT. It is shown that the DD DT DWT is a better option in place of DWT in the steganography ...

A efficient VLSI based architecture is proposed in this paper for implementation Discrete Wavelet Transform (DWT) of 5/3 filter. The proposed architecture includes transforms modules, a RAM and bus interfaces. This architecture works in non separable fashion using a serial-parallel filter with distributed control to compute all the DWT (1D-DWT and 2D-DWT) resolution levels. KeywordsDiscrete Wav...

Effectiveness of Artificial Neural Networks (ANN) and Support Vector Machines (SVM) classifiers for fault diagnosis of rolling element bearings are presented in this paper. The characteristic features of vibration signals of rotating driveline that was run in its normal condition and with faults introduced were used as input to ANN and SVM classifiers. Simple statistical features such as standa...

The digital data can be transformed using Discrete Wavelet Transform (DWT). The Discrete Wavelet Transform (DWT) was based on time-scale representation, which provides efficient multi-resolution. The lifting based scheme (9, 7) (Here 9 Low Pass filter coefficients and the 7 High Pass filter coefficients) filter give lossy mode of information. The lifting based DWT are lower computational comple...

The advantages of the wavelet transform over conventional transforms, such as the Fourier transform, are now well recognized. Because of its excellent locality in time-frequency domain, wavelet transform is remarkable and extensively used for signal analysis, compressing and denoising. Defining DWT by Mallat [1] provided possibility of its digitally hardware or software implementation. The disc...

In this paper, an efficient local appearance feature extraction method based the multi-resolution Curvelet transform is proposed in order to further enhance the performance of the well known Linear Discriminant Analysis(LDA) method when applied to face recognition. Each face is described by a subset of band filtered images containing block-based Curvelet coefficients. These coefficients charact...