Abstract— This paper proposes an image compression scheme using a personalized storage Discrete Wavelet Transform (DWT). In image compression schemes based on DWT, the module that generates these wavelet coefficients is sequentially attached to some encoding bitplanes. As the level of DWT decomposition increases the quantity of bits required to represent the wavelet coefficients is increased. A...

Wavelets have been used with great success in applications such as signal denoising, compression, estimation and feature extraction. This is because of their ability to capture singularities in the signal with a few coefficients. Applications that consider the statistical dependencies of wavelet coefficients have been shown to perform better than those which assume the wavelet coefficients as i...

In this paper we propose a wavelet transform based watermarking method. The wavelet coefficients of the watermark are embedded to the most significant coefficients at the low and high frequency bands of the discrete wavelet transform of an image. A multeresolution nature of wavelet transform can be exploit in the process of detection. Experimental results show that the proposed watermarking met...

Wavelet/wavelet packet decomposition has become a very useful tool in describing nonstationary processes. Important examples of nonstationary processes encountered in practice are cyclostationary processes or almost-cyclostationary processes. In this paper, we study the statistical properties of the wavelet packet decomposition of a large class of nonstationary processes, including in particula...

In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. The solution of the MAP estimator is based on the assumption that the wavelet coefficients have a known distribution. Rayleigh distribut...

In this paper, we propose two methods of digital watermark for image signals based on the wavelet transform. We classify wavelet coefficients as insignificant or significant by using zerotree which is defined in the embedded zerotree wavelet (EZW) algorithm [13]. In the first method, information data are embedded as watermark in the location of insignificant coefficients. In the second method, ...

This article presents results of image enhancement for robot vision. Results are obtained by superresolution techniques in wavelet domain. The calculated motion of wavelet coefficients in stationary image can enhance image quality. It can be used as interpolation information for increasing resolution. This is basis for wavelet quasi-superresolution, where one low-resolution image is interpolate...

In this paper, we propose a wavelet-tree-based watermarking method for copyright protection by using distance vector of binary cluster. Wavelet trees are classified into two clusters using the distance vector, which is obtained from the two smallest coefficients of a wavelet tree, to denote binary watermark bits. The trees are classified into two clusters so that they exhibit a sufficiently lar...

This paper presents a wavelet-based Gaussian method (WGM) for the peak intensity estimation of energy dispersive X-ray fluorescence (EDXRF). The relationship between the parameters of Gaussian curve and the wavelet coefficients of Gaussian peak point is firstly established based on the Mexican hat wavelet. It is found that the Gaussian parameters can be accurately calculated by any two wavelet ...

The efficiency of all Zerotree coding algorithms relay on the "decaying spectrum" hypothesis: a wavelet coefficient within a certain frequency scale of a wavelet subband decomposition has a larger magnitude than all his descendants (coefficients situated in higher frequency scales having the same spatial orientation). The higher the percentage this hypothesis is satisfied, the better are the re...