A DSP engine for discrete wavelet transformation (DWT) is introduced in this paper. Serial processing DWT architecture provides a better speed and efficiency, makes DWT better choice for image processing than DCT. A dedicated hardware DWT architecture attached to a general purpose microprocessor provided the programmability of data access make possible for dynamic scheduling for various DSP app...

Wavelets are the building blocks of wavelet transformations the same way that the functions einx are the building blocks of the ordinary Fourier transformation. But in contrast to sines and cosines, wavelets can be (or almost can be) supported on an arbitrarily small closed interval. This makes wavelets a very powerful tool in dealing with phenomena which change rapidly in time. Statistical wav...

Chaotic systems are extremely sensitive to control parameters and initial conditions. This feature is effective in the field of cryptography. In this paper we propose image encryption scheme which is based on the chaotic maps of Peter de Jong’s attractor. The image is transferred into the wavelet domain and then appropriate modifications of the wavelet coefficients are done. The main purpose of...

In hospitals and medical institutes, bulk of data and images are stored and transmitted, so there is a need of effective image storage and transmission. There should be new methods to compress the image. The compression technique reduces the size of file in order to facilitate efficient transfer of their storage. The wavelet technique reduces the transmission cost while maintaining the accuracy...

Wave Cluster is a grid based clustering approach. Many researchers have applied wave cluster technique for segmenting images. Wave cluster uses wave transformation for clustering the data item. Normally it uses Haar, Daubechies and Cohen Daubechies Feauveau or Reverse Bi-orthogonal wavelets. Symlet, Biorthogonal and Meyer wavelet families have been used in this paper to compare its clustering c...

Because of excellent properties, people has paid more attention to SPIHI algorithm, which is based on the traditional wavelet transformation theory, but it also has its shortcomings. Combined the progress in the present wavelet domain and the human's visual characteristics, we propose an improved algorithm based on human visual characteristics of SPIHT in the base of analysis of SPIHI algorithm...

A class of 4-band symmetric biorthogonal wavelet bases has been constructed, in which any wavelet system the high-pass filters can be determined by exchanging position and changing the sign of the two low-pass filters. Thus, the least restrictive conditions are needed for forming a wavelet so that the free degrees can be reversed for application requirement. Some concrete examples with high van...

Wavelet analysis as a recently data filtering method (or multi-scale decomposition) is particularly useful for describing signals with sharp spiky, discontinuous or fractal structure in financial markets. This study investigates the optimal several wavelet thresholding criteria or techniques to support the multi-signal decomposition methods of a daily Korean won / U.S. dollar currency market as...

This paper prefers Acoustic Noise cancellation (ANC) system using Wavelet based adaptive filtering algorithms. The Acoustic Noise canceller is implemented using adaptive algorithms like LMS (Least Mean Square), NLMS (Normalized Least Mean Square),RLS (Recursive Least Square), and FRLS (Fast Recursive Least Square). The inclusion of wavelet based transformation in ANC reduces the number of sampl...

This report introduces the emerging Wavelet-based video coding system. Inefficiency of the block-based motion estimation in context of the wavelet coder is discussed in comparison to the mesh-based approach. A progressive mesh refinement technique using multiple layers is proposed also a fast motion estimation based on the redundant wavelet is presented that outperforms a full-search motion est...