document: Adaptive image denoising using scale and space consistency This paper proposes a new method for image denoising with edge preservation , based on image multiresolution decomposition by a redundant wavelet transform . In our approach , edges are implicitly located and preserved in the wavelet domain , whilst image noise is filtered out . At each resolution level , the image edges are estimated by gradient magnitudes -LRB- obtained from the wavelet coefficients -RRB- , which are modeled probabilistically , and a shrinkage function is assembled based on the model obtained . Joint use of space and scale consistency is applied for better preservation of edges . The shrinkage functions are combined to preserve edges that appear simultaneously at several resolutions , and geometric constraints are applied to preserve edges that are not isolated . The proposed technique produces a filtered version of the original image , where homogeneous regions appear separated by well-defined edges . Possible applications include image presegmentation , and image denoising
doc_bio_tags: B I I O O O B I O O O O O O O O O O B I O O O B I I O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O B I O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O