|Title||Correlated wavelet shrinkage: models of local random fields across multiple resolutions|
|Publication Type||Conference Paper|
|Year of Publication||2005|
|Authors||Azimifar, Z., P. Fieguth, and E. Jernigan|
|Conference Name||International Conference on Image Analysis and Recognition|
|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|
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.