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ICIP
1998
IEEE
15 years 11 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
DAGM
2006
Springer
15 years 10 months ago
Ultrasound Image Denoising by Spatially Varying Frequency Compounding
Ultrasound images are very noisy. Along with system noise, a significant noise source is the speckle phenomenon, caused by interference in the viewed object. Most past approaches f...
Yael Erez, Yoav Y. Schechner, Dan Adam
PAMI
2006
178views more  PAMI 2006»
15 years 6 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
PR
2006
119views more  PR 2006»
15 years 6 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele
CVIU
2004
152views more  CVIU 2004»
15 years 6 months ago
Detecting image orientation based on low-level visual content
Accurately and automatically detecting image orientation is of great importance in intelligent image processing. In this paper, we present automatic image orientation detection al...
Yongmei Michelle Wang, HongJiang Zhang