TODAES
2008
13 years 4 months ago
2008
The goal of dynamic power management is to reduce power dissipation in system level by putting system components into different states. This paper proposes a wavelet based approac...
TMI
2008
13 years 4 months ago
2008
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
TIP
2008
13 years 4 months ago
2008
Our aim in this paper is to tighten the link between wavelets, some classical image-processing operators, and David Marr's theory of early vision. The cornerstone of our appro...
TIP
2008
13 years 4 months ago
2008
A distinction is usually made between wavelet bases and wavelet frames. The former are associated with a one-to-one representation of signals, which is somewhat constrained but mos...
TIP
2008
13 years 4 months ago
2008
Abstract--The wavelet transform as an important multiresolution analysis tool has already been commonly applied to texture analysis and classification. Nevertheless, it ignores the...
TIP
2008
13 years 4 months ago
2008
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
TCSV
2008
13 years 4 months ago
2008
A quality constrained compression algorithm based on Discrete Wavelet Transform (DWT) is proposed. The spatial-frequency decomposition property of DWT provides possibility for not...
AMC
2005
13 years 4 months ago
2005
A class of efficient preconditioners based on Daubechies family of wavelets for sparse, unsymmetric linear systems that arise in numerical solution of Partial Differential Equatio...
IJCV
2007
13 years 4 months ago
2007
Abstract. Inspired by the early visual system of many mammalians we consider the construction of-and reconstruction from- an orientation score Uf : R2 ×S1 → C as a local orienta...
PRL
2006
13 years 4 months ago
2006
This work compares and contrasts results of classifying time-domain ECG signals with pathological conditions taken from the MIT