Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion. II
SIAM Journal on Numerical Analysis
LCIS: a boundary hierarchy for detail-preserving contrast reduction
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilateral Filtering and Anisotropic Diffusion: Towards a Unified Viewpoint
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
The trilateral filter for high contrast images and meshes
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
A decision tree-based attribute weighting filter for naive Bayes
Knowledge-Based Systems
Moving Average Hybrid FIR Filter in Ultrasound Image Processing
CONIELECOMP '08 Proceedings of the 18th International Conference on Electronics, Communications and Computers (conielecomp 2008)
Application of Morphological Filter in Pulse Noise Removing of Vibration Signal
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 1 - Volume 01
Three-Phase Distance Matrices Filter
ETCS '09 Proceedings of the 2009 First International Workshop on Education Technology and Computer Science - Volume 03
Image Filtering Driven by Level Curves
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Windowed all-phase DFT modulated in time domain and its application in spectrum analysis
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Modified switching median filter for impulse noise removal
Signal Processing
IWCFTA '10 Proceedings of the 2010 International Workshop on Chaos-Fractal Theories and Applications
Hashed Nonlocal Means for Rapid Image Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal
International Journal of Computer Vision
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
The staircasing effect in neighborhood filters and its solution
IEEE Transactions on Image Processing
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing
Blind Forensics of Median Filtering in Digital Images
IEEE Transactions on Information Forensics and Security
Image Denoising Using Mean Curvature of Image Surface
SIAM Journal on Imaging Sciences
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While denoising a signal, the existing filtering methods are beset with the contradiction between signal's noise removal and feature preservation; in face of this denoising contradiction, there is no effective solution by now and they have to make a trade-off between these two contradictory aspects. With the purpose to further alleviate this contradiction progressively, but not to make a trade-off, here we established a universal denoising paradigm named as attribute distance weighted average (ADWA) from the perspective of signal's attribute analysis. ADWA not only breaks the existing methods' limitations on the number and kinds of signal's attributes, and has a flexible expandability to include any attributes, but also includes the ideas and takes the advantages of many existing filtering methods. Both theoretical analysis and experimental results show that, for any noisy signal, under the condition of a good performance of noise removal, ADWA's ability in signal's feature preservation can be progressively improved by introducing new significant attributes; this makes ADWA can obtain an enough satisfactory performance in both noise removal and feature preservation. Therefore, ADWA provides an effective and promising way to cope with the denoising contradiction.