A New Class of Detail-Preserving Filters for Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detail-preserving median based filters in image processing
Pattern Recognition Letters
Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Digital Image Processing
Adaptive vector median filtering
Pattern Recognition Letters
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
Multidimensional Systems and Signal Processing
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
Image enhancement using the modified ICM method
IEEE Transactions on Image Processing
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
A noise-filtering method using a local information measure
IEEE Transactions on Image Processing
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
Application of partition-based median type filters for suppressing noise in images
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 universal noise removal algorithm with an impulse detector
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
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The pending problem that research in random-valued impulse noise filtering has been facing is the inability to distinguish noisy values that do not occur as extreme outliers in comparison with other surrounding pixels. In this paper, we propose a new detection and filtering algorithm that consists of (1) a two-stage detection scheme that employs second-order difference between pixels to determine the integrity of the image pixels and (2) a noise filtering process that estimates the original value of each noisy pixel utilizing the information gathered from (1). Due to its unbiased detection criteria, this method treats both fixed-valued and random-valued noise with extremely high detection rate.