@inproceedings {420,
	title = {Correlated wavelet shrinkage: models of local random fields across multiple resolutions},
	booktitle = {International Conference on Image Analysis and Recognition},
	year = {2005},
	abstract = {<p>This paper proposes a novel correlated shrinkage method based on wavelet joint statistics. Our objective is to demonstrate effectiveness of the wavelet correlation models [Z. Azimifar et al., 2004] in estimating the original signal from a noising observation. Simulation results are given to show the advantage of the new correlated shrinkage function. In comparison with the popular nonlinear shrinkage algorithms, it improves the denoised results.</p>
},
	keywords = {correlated wavelet shrinkage, Image Denoising, image resolution, image resolutions, local random fields, nonlinear shrinkage algorithms, statistical analysis, wavelet correlation models, wavelet joint statistics, wavelet transforms},
	doi = {http://dx.doi.org/10.1109/ICIP.2005.1530352},
	author = {Z Azimifar and P Fieguth and E Jernigan}
}
