Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2D image fragments (e.g., blocks) into 3D data arrays which we call "groups." Collaborative Altering is a special proc...

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Veröffentlicht in:	IEEE transactions on image processing 2007-08, Vol.16 (8), p.2080-2095
Hauptverfasser:	Dabov, Kostadin, Foi, Alessandro, Katkovnik, Vladimir, Egiazarian, Karen
Format:	Artikel
Sprache:	eng
Schlagworte:	3-D transform shrinkage Adaptive grouping Algorithms Applied sciences block matching Collaboration Detection, estimation, filtering, equalization, prediction Discrete cosine transforms Energy resolution Estimates Exact sciences and technology Filtering Filtration Image denoising Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Imaging, Three-Dimensional - methods Information, signal and communications theory Miscellaneous Noise reduction Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal processing algorithms Signal resolution Signal, noise sparsity Spatial resolution Strategy Studies Telecommunications and information theory Three dimensional Transformations
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