Discrete wavelet transform has been incorporated as part of the JPEG2000 image compression standard and is being deployed in various portable consumer products. This raises the interest in lowpower design of DWT processor. This paper presents a low-power implementation of a 2-D biorthogonal DWT processor that uses residue number arithmetic. By incorporating a 4-stage pipeline, the processor is ...

An improved method to compress of pseudo-periodic 1-dimensional signals like voiced speech, music, ECG etc is suggested. The pitch synchronous property of such signals is utilized to increase the efficiency of compression, to minimize losses and thus to enhance the quality of the reconstruction. Results show higher signal to noise ratio, higher compression ratio and lower percentage distortion ...

A high-speed and reduced-area lifting architecture for 2D Discrete Wavelet Transform computation and the 2-D DWT Image Decomposition is proposed in this work. Lift scheme is one of the wavelet computation techniques. Prior DWT architectures are mostly constructed on the basic lifting scheme or the flipping structure. In order to attain a critical path with only one multiplier, at least four pip...

The enhancement and detection of elongated structures in noisy image data is relevant for many biomedical applications. To handle complex crossing structures in 2D images, 2D orientation scores U : R × S → R were introduced, which already showed their use in a variety of applications. Here we extend this work to 3D orientation scores U : R × S → R. First, we construct the orientation score from...

In this chapter, we illustrate the properties of the continuous shearlet transform with respect to its ability to describe the set of singularities of multidimensional functions and distributions. This is of particular interest since singularities and other irregular structures typically carry the most essential information in multidimensional phenomena. Consider, for example, the edges of natu...

in this paper a wavelet-based logo watermarking scheme is presented. the logo watermark is embedded into all sub-blocks of the lln sub-band of the transformed host image, using quantization technique. extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

electrocardiogram (ecg) is one of the most common biological signals which plays a significant role in diagnosis of heart diseases. one of the most important parts of ecg signal processing is interpretation of qrs complex and obtaining its characteristics. r wave is one of the most important sections of this complex which has an essential role in diagnosis of heart rhythm irregularities and als...

This paper describes an approach to the compression of a Fingerprint images using new mathematical transform ,namely ,the wave atom transform that has proven to show promising results over wavelet transform and curvelet transform .Wavelets are well suited to point singularities ,however they have a problem with orientation selectivity, and therefore ,they do not represent two-dimensional singul...

this paper presents a rational haar wavelet operational method for solving the inverse laplace transform problemand improves inherent errors from irrational haar wavelet. the approach is thus straightforward, rather simple andsuitable for computer programming. we define that $p$ is the operational matrix for integration of the orthogonalhaar wavelet. simultaneously, simplify the formulaes of li...