Abstract— Electrocardiography (ECG) signals are important in medical engineering to determine the condition of the heart. The proper processing of ECG signal and its accurate detection is very much essential for easy diagnosis. Generally ECG gets corrupted by noise and human artifacts. The denoising of this signal is very important issue in medical field. In this proposed work concentrated on d...

Digital Watermarking may be a technology used for the copyright protection of digital applications. During this paper, a comprehensive approach for watermarking digital video is introduced, and a hybrid digital video watermarking scheme based on Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA). PCA helps in reducing correlation among the wavelet coefficients obtained from...

In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete Wavelet Transform) and includes a model-based bit allocation process across the wavelet subbands. Coordinates of 3D wavelet coefficients are processed separately and statistically modeled by a generalized Gaussian dist...

Hidden Markov models have been used in a wide variety of waveletbased statistical signal processing applications. Typically, Gaussian mixture distributions are used to model the wavelet coefficients and the correlation between the magnitudes of the wavelet coefficients within each scale and/or across the scales is captured by a Markov tree imposed on the (hidden) states of the mixture. This pap...

Corrosion causes a degradation of the structural integrity of petrochemical plants, nuclear power plants, ships, bridges and other constructions containing steel with the 29 consequence that people and the environment may be exposed to dangerous situations. The detection of corrosion and the prediction of the type of corrosion are studied in this 31 article by means of the acoustic emission tec...

A new image sharing method, based on the reversible integer-to-integer (ITI) wavelet transform and Shamir’s (r,m) threshold scheme is presented, that provides highly compact shadows for real-time progressive transmission. This method, working in the wavelet domain, processes the transform coefficients in each subband, divides each of the resulting combination coefficients into m shadows, and al...

Abstract– The performance of various estimators, such as maximum a posteriori (MAP), strongly depends on correctness of the proposed model for distribution of noise-free data. Therefore, the selection of a proper model for the distribution of wavelet coefficients is very important in wavelet based image denoising. This paper presents a new image denoising algorithm based on the modeling of wave...

In recent years image fusion plays a vital role in the image processing area. Fused images would help in doing many applications in image processing like segmentation, image enhancement and many. In order to improve the effect of fusion visible and infrared image images of the same scene, this paper presents an image fusion method based on lifting wavelet domain. Firstly, the source images are ...

Discriminant analysis is an effective tool for the classification of experimental units into groups. When the number of variables is much larger than the number of observations it is necessary to include a dimension reduction procedure into the inferential process. Here we present a typical example from chemometrics that deals with the classification of different types of food into species via ...

An image authentication and tampering localization technique based on a wavelet-based digital watermarking technique [8] is proposed. To determine whether a given watermarked image has been tampered or not, the similarity between the extracted and embedded watermarks is measured. If the similarity is less than a threshold value, the proposed sequential watermark alignment based on coefficient s...