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» Image Denoising Using Derotated Complex Wavelet Coefficients
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MMM
2006
Springer
154views Multimedia» more  MMM 2006»
15 years 3 months ago
A robust object shape prediction algorithm in the presence of white Gaussian noise
This paper presents a shape prediction algorithm in a noisy video sequence based on pixel representation in the undecimated wavelet domain. In our algorithm for tracking of user-d...
Mohammad Khansari, Hamid R. Rabiee, M. Asadi, M. G...
86
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ICIP
2002
IEEE
15 years 11 months ago
Multiresolution 3D mesh compression
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 ...
Frédéric Payan, Marc Antonini
ICIP
2003
IEEE
15 years 11 months ago
Spread transform watermarking for video sources
Spread Transform (ST) is a quantization watermarking algorithm in which vectors of the wavelet coefficients of a host work are quantized, using one of two dithered quantizers, to ...
John Earl, Nick G. Kingsbury
ICIP
2003
IEEE
15 years 11 months ago
On multivariate estimation by thresholding
Despite their simplicity, scalar threshold operators effectively remove additive white Gaussian noise from wavelet detail coefficients of many practical signals. This paper explor...
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchan...
ICIP
2002
IEEE
15 years 11 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...