A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
Sharpening vector median filters
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
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
Improved bilateral filter for suppressing mixed noise in color images
Digital Signal Processing
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A robust structure-adaptive hybrid vector filter is proposed for digital color image restoration in this paper. At each pixel location, the image vector (i.e., pixel) is first classified into several different signal activity categories by applying a modified quadtree decomposition to luminance component (image) of the input color image. A weight-adaptive vector filtering operation with an optimal window is then activated to achieve the best tradeoff between noise suppression and detail preservation. Through extensive simulation experiments conducted using a wide range of test color images, the filter has demonstrated superior performance to that of a number of well known benchmark techniques, in terms of both standard objective measurements and perceived image quality, in suppressing several distinct types of noise commonly considered in color image restoration, including Gaussian noise, impulse noise, and mixed noise.