In this paper, we present an object-based coding scheme using three-dimensional shape-adaptive discrete wavelet transforms (SA-DWT). Rather than straightforward extension of 2D SA-DWT, a novel way to handle the temporal wavelet transform using a motion model is proposed to achieve higher coding efficiency. Corresponding to this transform scheme, we use a 3D entropy coding algorithm called Motio...

R. Mutihac Electricity and Biophysics, University of Bucharest, Bucharest, Romania Objective Analysis of an fMRI block-based visual stimulation paradigm was comparatively performed by wavelet analysis and statistical parametric mapping (SPM) [1] based on Gaussian Random Field Theory (RFT). The voxels were isotropic and the same general linear model (GLM) was employed in both SPM and the discret...

We present a new framework for managing and rendering large scale time-varying data using the wavelet-based time-space partitioning (WTSP) tree. We utilize the hierarchical TSP tree data structure to capture both spatial and temporal locality and coherence of the underlying time-varying data and exploit the wavelet transform to convert the data into a multiresolution spatio-temporal representat...

Methods: This study investigates multiscale texture features extracted from CRC pathology sections using 3D wavelet transform (3D-WT) filter. Multiscale features were extracted from digital whole slide images of 39 patients that were segmented in a pre-processing step using an active contour model. The capacity for multiscale texture to compare and classify between PTs was investigated using AN...

This paper proposes a generic lifting technology (Barbell Lifting), where each predicting or updating signal is generated with a Barbell function instead of always a sample from single direction or bi-direction, to incorporate various motion alignment methods into temporal wavelet transform. The proposed lifting technology embraces fractional pixel motion alignment, variable block size motion a...

Wavelet-based analysis versus Gaussian smoothing in statistical parametric mapping (SPM) for detecting and analyzing brain activity from functional magnetic resonance imaging (fMRI) data is presented. Detection of activation in fMRI data can be performed in the wavelet domain by a coefficient-wise statistical t-test. The link between the wavelet analysis and SPM is based on two observations: (i...

— A novel video watermarking system operating in the three-dimensional wavelet transform is here presented. Specifically the video sequence is partitioned into spatio-temporal units and the single shots are projected onto the 3D wavelet domain. First a gray-scale watermark image is decomposed into a series of bitplanes that are preprocessed with a random location matrix. After that the preproce...

abstract background: a computer aided diagnosis system was established using the wavelet transform and neural network to differentiate malignant from benign in a   group of patients with histo-pathologically proved breast lesions based on the data derived independ­ently from time-intensity profile.   materials and methods: the per­formance of the artificial neural network (ann) was evaluated us...

The objective of this paper is to implement and evaluate the effectiveness of wavelet based Spatial-orientated Tree Wavelet (STW), 3D-Set Partitioning in hierarchical trees (3D-SPIHT) and Adaptively Scanned Wavelet Difference Reduction (ASWDR) compression techniques using MATLAB R2010b. The performance parameters such as Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE), Compression R...

The discrete wavelet transform (DWT) is being increasingly used for image coding 3D-DWT provides interesting possibilities and has been studied to resolve the problem associated with compression of large size images. However, the main issue of concern is preserving more details in the enlarged image. On the problem that the hardware overhead in architecture for Convolution based DWT wastes a lo...