Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
On the computational complexity of multivariate median filters
Signal Processing
Multichannel filtering by gradient information
Signal Processing
Color image processing and applications
Color image processing and applications
Genetic-based fuzzy hybrid multichannel filters for color image restoration
Fuzzy Sets and Systems
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Adaptive fuzzy order statistics-rational hybrid filters for color image processing
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Adaptive vector median filtering
Pattern Recognition Letters
Combining vector median and vector directional filters: the directional-distance filters
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Nonlinear Signal and Image Processing: Theory, Methods, and Applications
Nonlinear Signal and Image Processing: Theory, Methods, and Applications
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
Multidimensional Systems and Signal Processing
Fast adaptive similarity based impulsive noise reduction filter
Real-Time Imaging - Special issue on spectral imaging
Selection weighted vector directional filters
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A fast impulsive noise color image filter using fuzzy metrics
Real-Time Imaging - Special issue on multi-dimensional image processing
Impulse noise removal by a global-local noise detector and adaptive median filter
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Fuzzy random impulse noise reduction method
Fuzzy Sets and Systems
Impulse noise removal utilizing second-order difference analysis
Signal Processing
Fuzzy vector partition filtering technique for color image restoration
Computer Vision and Image Understanding
Graph regularization for color image processing
Computer Vision and Image Understanding
Histogram-based fuzzy colour filter for image restoration
Image and Vision Computing
Generalized selection weighted vector filters
EURASIP Journal on Applied Signal Processing
On modeling interchannel dependency for color image denoising: Articles
International Journal of Imaging Systems and Technology - Special Issue on Applied Color Image Processing
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
cDNA microarray image processing using fuzzy vector filtering framework
Fuzzy Sets and Systems
A new fuzzy-based wavelet shrinkage image denoising technique
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
Fuzzy scalar and vector median filters based on fuzzy distances
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new class of chromatic filters for color image processing. theory and applications
IEEE Transactions on Image Processing
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
IEEE Transactions on Image Processing
A robust structure-adaptive hybrid vector filter for color image restoration
IEEE Transactions on Image Processing
The fuzzy transformation and its applications in image processing
IEEE Transactions on Image Processing
A fuzzy impulse noise detection and reduction method
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Partition-based vector filtering technique for suppression of noise in digital color images
IEEE Transactions on Image Processing
Fuzzy Two-Step Filter for Impulse Noise Reduction From Color Images
IEEE Transactions on Image Processing
A Fuzzy Noise Reduction Method for Color Images
IEEE Transactions on Image Processing
A New Fuzzy Color Correlated Impulse Noise Reduction Method
IEEE Transactions on Image Processing
Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
IEEE Transactions on Image Processing
An adaptive nearest neighbor multichannel filter
IEEE Transactions on Circuits and Systems for Video Technology
Two-step fuzzy logic-based method for impulse noise detection in colour images
Pattern Recognition Letters
A novel fuzzy color median filter based on an adaptive cascade of fuzzy inference systems
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Computationally Efficient Formulation of Sparse Color Image Recovery in the JPEG Compressed Domain
Journal of Mathematical Imaging and Vision
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A geometric features-based filtering technique, named as the adaptive geometric features based filtering technique (AGFF), is presented for removal of impulse noise in corrupted color images. In contrast with the traditional noise detection techniques where only 1-D statistical information is used for noise detection and estimation, a novel noise detection method is proposed based on geometric characteristics and features (i.e., the 2-D information) of the corrupted pixel or the pixel region, leading to effective and efficient noise detection and estimation outcomes. A progressive restoration mechanism is devised using multipass nonlinear operations which adapt to the intensity and the types of the noise. Extensive experiments conducted using a wide range of test color images have shown that the AGFF is superior to a number of existing well-known benchmark techniques, in terms of standard image restoration performance criteria, including objective measurements, the visual image quality, and the computational complexity.