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...

In this paper, a set of two-dimensional (2-D) rotated complex wavelet filters (RCWFs) are designed with coefficients complex wavelet filter, which gives texture information strongly oriented in six different directions. The 2-D RCWFs are non-separable and improve characterization of oriented textures. Most of the texture image retrieval systems are struggle providing retrieval result with high ...

1. Introduction. The main purpose of this paper is to develop algorithms to obtain sparse representations of functions of several variables using Gaussian wave packets. Numerically, we will primarily focus on the two-dimensional case; our main interest is the representation of waves related to the wave equation. Sparse representations are useful, in some cases essential, for large-scale problem...

To study the characteristics of license plate characters recognition, this paper proposes a method for feature extraction of license plate characters based on two-dimensional wavelet packet. We decompose license plate character images with two dimensional-wavelet packet and search for the optimal wavelet packet basis. This paper presents a criterion of searching for the optimal wavelet packet b...

The main objective of super-resolution (SR) imaging is to reconstruct a high-resolution (HR) image of a scene from one or more low-resolution images of the scene. In resolution enhancement of images, the main loss is on the high frequency components (edges) of the image. This is due to the smoothing caused by interpolation. Hence in order to enhance the quality of the super resolved image, pres...

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...

The wavelet transform has itself a useful tool in the field of 1-dimensional and 2-dimensional signal compression systems. Due to the growing importance of this technique, there is an increasing need in many working groups for having a development environment which could be flexible enough and where the performance of a specific architecture could be measured, closer to reality rather than in a...

A novel dual wing harmonium model that integrates multiple features including term frequency features and 2-D wavelet transform features into a low dimensional semantic space is proposed for the applications of document classification and retrieval. Terms are extracted from the graph representation of document by employing weighted feature extraction method. 2-D wavelet transform is used to com...

The effectiveness of many hyperspectral feature extraction algorithms involving classification (and linear spectral unmixing) are dependent on the use of spectral signature libraries. If two or more signatures are roughly similar to each other, these methods which use algorithms such as singular value decomposition (SVD) or least squares to identify the object will not work well. This especiall...