In this paper, a robust digital image watermarking approach using adaptive quantization of wavelet packet coefficients was proposed. The original image is decomposed by discrete wavelet packet transform and the dominant wavelet coefficients are selected for watermark embedding from each sub-band except the lowest frequency one. Then, each watermark bit is adaptively embedded with different stre...

On the basis of the research of wavelet transform and digital watermarking technology, this paper proposed a self-adaptive discrete wavelet transform (DWT) digital watermarking algorithm, which can achieve the purpose of embedding hidden watermarks by decompose three-level wavelet of image and decompose bit-plane of watermarking gray scale image by Arnold scrambling transformation. Layer adapti...

The main goal of the paper is to show that wavelet transforms and packets have the multiparametric representation in the form of a product of the rotation Jacobi matrices. These representations we call the third and the fourth canonical multiparametric form. Each multiparametric wavelet transform (MPWT) depends on several free Jacobi parameters. When parameters are changed multiparametric trans...

-In this paper we present a novel approach to 3D shape representation and matching based on the combination of the Hilbert space filling curve and Wavelet analysis. Our objective is to introduce a robust technique that capitalizes on the localization-preserving nature of the Hilbert space filling curve and the approximation capabilities of the Wavelet transform. Our technique produces a concise...

Connectivity-Guided Adaptive Wavelet Transform based mesh compression framework is proposed. The transformation uses the connectivity information of the 3D model to exploit the inter-pixel correlations. Orthographic projection is used for converting the 3D mesh into a 2D image-like representation. The proposed conversion method does not change the connectivity among the vertices of the 3D model...

In this paper, we present a new compressed sensing implementation process for one dimension signal reconstruction. Firstly, one level wavelet decomposition of the one dimensional signal was finished. For using the adaptive wavelet transform based on lifting wavelet transforms, we can achieve the detail signals being zero (or almost zero) at big probability, so the signal has the better linear a...

Medical images are corrupted by noises during its transmission and acquisition process. Noise reduction has been a traditional problem in image and signal processing. Medical images generally contains minute information about heart, brain, nerves etc therefore wrong diagnosis might not rescue the patient from harmful effects. In this paper we proposed an approach for image denoising based on wa...