Unsupervised clustering of dominant scenes in sports video
Pattern Recognition Letters
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
Dynamic storyboards for video content summarization
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics
Journal of Visual Communication and Image Representation
Isolating impulsive noise pixels in color images by peer group techniques
Computer Vision and Image Understanding
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques
Image and Vision Computing
Mixed Gaussian and uniform impulse noise analysis using robust estimation for digital images
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Peer group switching filter for impulse noise reduction incolor images
Pattern Recognition Letters
Peer group vector median filter
Proceedings of the 29th DAGM conference on Pattern recognition
A soft-switching approach to improve visual quality of colour image smoothing filters
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Two-step fuzzy logic-based method for impulse noise detection in colour images
Pattern Recognition Letters
Adaptive edge enhancing technique of impulsive noise removal in color digital images
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Quaternion switching filter for impulse noise reduction in color image
Signal Processing
New method for fast detection and removal of impulsive noise using fuzzy metrics
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Ultrafast technique of impulsive noise removal with application to microarray image denoising
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Color image restoration using explicit local segmentation
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
International Journal of Computational Science and Engineering
Modified bilateral filter for the restoration of noisy color images
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Reduced ordering technique of impulsive noise removal in color images
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
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Peer group image processing identifies a “peer group” for each pixel and then replaces the pixel intensity with the average over the peer group. Two parameters provide direct control over which image features are selectively enhanced: area (number of pixels in the feature) and window diameter (window size needed to enclose the feature). A discussion is given of how these parameters determine which features in the image are smoothed or preserved. We show that the Fisher discriminant can be used to automatically adjust the peer group averaging (PGA) parameters at each point in the image. This local parameter selection allows smoothing over uniform regions while preserving features like corners and edges. This adaptive procedure extends to multilevel and color forms of PGA. Comparisons are made with a variety of standard filtering techniques and an analysis is given of computational complexity and convergence issues