ICIP
2002
IEEE
13 years 10 months ago
2002
IEEE
—The essence of fractal image denoising is to predict the fractal code of a noiseless image from its noisy observation. From the predicted fractal code, one can generate an estim...
Publication
This paper suggests a discriminative approach for wavelet denoising
where a set of mapping functions (MF) are applied to the transform
coefficients in an attempt to produce a noi...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. ...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The paper presents an example of exploratory data analysis of climate measurements using a recently developed denoising source separation (DSS) framework. We analysed a c...
SMI
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we propose a new and powerful shape denoising technique for processing surfaces approximated by triangle meshes and soups. Our approach is inspired by recent non-lo...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
Different denoising schemes show dissimilar types of artifacts. For example, certain transform-based denoising schemes could introduce artifacts in smooth regions while others eli...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In X-ray interventional imaging, improved denoising enables lower X-ray dose and better visualization, resulting in increased confidence in the therapeutic act. This article focu...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose an extension of the recently devised SURE-LET grayscale denoising approach for multichannel images. Assuming additive Gaussian white noise, the unknown linear parameter...
ISBI
2009
IEEE
13 years 12 months ago
2009
IEEE
In fluorescence microscopy the noise level and the photobleaching are cross-dependent problems since reducing exposure time to reduce photobleaching degrades image quality while ...