In this paper an image resolution and contrast enhancement technique for Additive White Gaussian Noise (AWGN) removal is verified aiming high resolution and contrast image output. In image resolution enhancement, the main loss is on its high frequency components (i.e., edges), which is due to the smoothing caused by interpolation. In order to increase the quality of the super resolved image, pr...

In networks the content distribution through genuine channels needs the use of digital watermarks. The digital watermark is to make the content self-identifying i.e. to place the information within the content itself. Digital images are the significant vector for network communication. As 2D-image signals are non-stationary signal wavelet transform is more suitable to analyze this signal. This ...

The discrete wavelet transform (DWT) is extended to functions on the discrete circle to create a fast and complete discrete periodic wavelet transform (DPWT) for bounded periodic sequences. This extension also solves the problem of non-invertibility that arises in the application of the DWT to finite-dimensional sequences and provides the proper theoretical setting for previous incomplete solut...

Kirchhoo migration operator is a highly oscillatory integral operator. In our previous work (see \Seismic Imaging in Wavelet Domain", Wu and Yang 1], 1997), we have shown that the matrix representation of Kirchhoo migration operator for homogeneous background in space-frequency domain is a dense matrix, while the compressed beamlet-operator, which is the wavelet decomposition of the Kirchhoo mi...

In this paper, the authors conduct a review on redundant wavelet transform (RDWT) in video signal processing. As an over-complete version of discrete wavelet transform (DWT), RDWT provides several advantages over the traditional DWT. In video coding area, we utilize its shift-invariant property and its phase-diverse multihypothesis, which are not provided by DWT, to build high performance video...

ECG is a method used to measure the rate and regularity of heartbeats to detect any irregularity to the heart. An ECG translates the heart electrical activity into wave-line on paper or screen. In this paper, discrete wavelet transform (DWT) will be used to extract the relevant information from the ECG input data in order to perform the classification task. Previous study suggests DWT-based fea...

This paper introduces a segmentation algorithm for object-based image coding techniques. This scheme is based on Discrete Wavelet Transform (DWT)/Redundant Discrete Wavelet Transform (RDWT) and Multiresolution Markov Random Field (MMRF). DWT based MMRF works well for noise-free images. It merges details in the original image with their respective visual objects and divides the image into differ...

A technique which enables to have a secret communication in modern technology using public channel is known as steganography. In this paper, we propose Performance Comparison of Robust Steganography Based on Multiple Transformation Techniques (PCRSMT). The cover image intensity values are manipulated to accommodate payload properly and segmented into blocks of 4*4 each. Discrete Wavelet Transfo...

The emergence of deforming regimes is related to the proliferation of nonlinear electrical receivers. The higher harmonics of drawn currents from power systems can be evaluated using Discrete Wavelet Transform (DWT). Unlike Fast Fourier Transform (FFT), which provides only amplitude-frequency information but looses time information, DWT analyses the signal in a time-frequency domain using windo...

The main goal of this paper is to embed a watermark in the speech signal, using the three techniques such as Discrete Cosine Transform (DCT) along with Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT).In this paper, various combinations were tried for embedding the watermark image into the audio signal such as DWT and SVD, DCT with SVD and DCT, DWT with SVD. Their perform...