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ICIP
2003
IEEE
16 years 8 months ago
Adaptive principal components and image denoising
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The ...
D. Darian Muresan, Thomas W. Parks
CGF
2008
149views more  CGF 2008»
15 years 6 months ago
Image-based Aging Using Evolutionary Computing
Aging has considerable visual effects on the human face and is difficult to simulate using a universally-applicable global model. In this paper, we focus on the hypothesis that th...
Daniel Hubball, Min Chen, Phil W. Grant
PRL
2008
147views more  PRL 2008»
15 years 6 months ago
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ...
Thomas Deselaers, Hermann Ney
ICIP
2006
IEEE
16 years 8 months ago
Wavelet-Domain Soft-Thresholding for Non-Stationary Noise
This paper describes a new wavelet-based denoising algorithm based on a non-stationary noise assumption. Even though stationary noise models can simplify the development and imple...
Wan Yee Lo, Ivan W. Selesnick