Generalized E-filter and Its Application to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Removing Noise and Preserving Details with Relaxed Median Filters
Journal of Mathematical Imaging and Vision
Image Representation Using Block Pattern Models and Its Image Processing Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking and MAP Reconstruction of line scratches in degraded motion pictures
Machine Vision and Applications - Special issue: IEEE WACV
Motion compensated film restoration
Machine Vision and Applications
Formulation of an accurate discrete theory of median shifts
Signal Processing
Adaptive fuzzy switching filter for images corrupted by impulse noise
Pattern Recognition Letters
Impulse noise removal utilizing second-order difference analysis
Signal Processing
Fusion of complementary detectors for improving blotch detection in digitized films
Pattern Recognition Letters
Three-state locally adaptive texture preserving filter for radar and optical image processing
EURASIP Journal on Applied Signal Processing
Noisy image restoration based on boundary resetting BDND and median filtering with smallest window
WSEAS Transactions on Signal Processing
Noise Detection Fuzzy (NDF) Filter for Removing Salt and Pepper Noise
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Denoising saliency map for region of interest extraction
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
An adaptive fuzzy switching filter for images corrupted by impulse noise
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Root Mean Square filter for noisy images based on hyper graph model
Image and Vision Computing
An improved anisotropic diffusion model for detail- and edge-preserving smoothing
Pattern Recognition Letters
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A new class of median type filters for image processing is proposed. In the filters, linear FIR substructures are used in conjunction with the median operation. The root signals and noise attenuation properties of the FIR-median hybrid filters are analyzed and compared to representative edge preserving filtering operations. The concept of multilevel median operation is introduced to improve the detail preserving property of conventional median and the FIR-median hybrid filters. In the multilevel filters there exists a tradeoff between noise attenuation and detail preservation. The analysis and examples indicate that FIR-median hybrid filters preserve details better and are computationally much more efficient than the conventional median and the K-nearest neighbor averaging filters.