Fundamentals of digital image processing
Fundamentals of digital image processing
On the computational complexity of multivariate median filters
Signal Processing
Color image processing and applications
Color image processing and applications
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
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
Multidimensional Systems and Signal Processing
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Two-sided filters for frame-based prediction
IEEE Transactions on Signal Processing
Blind deconvolution of symmetric noncausal impulse responses usingtwo-sided linear prediction
IEEE Transactions on Signal Processing
Two-dimensional linear prediction and spectral estimation on apolar raster
IEEE Transactions on Signal Processing
Fast algorithms for close-to-Toeplitz-plus-Hankel systems andtwo-sided linear prediction
IEEE Transactions on Signal Processing
Adaptive robust impulse noise filtering
IEEE Transactions on Signal Processing
Noncausal predictive image codec
IEEE Transactions on Image Processing
A fast algorithm for 1-norm vector median filtering
IEEE Transactions on Image Processing
Multispectral code excited linear prediction coding and its application in magnetic resonance images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Vector directional filters-a new class of multichannel image processing filters
IEEE Transactions on Image Processing
Image codec by noncausal prediction, residual mean removal, and cascaded VQ
IEEE Transactions on Circuits and Systems for Video Technology
Multivariate ordering in color image filtering
IEEE Transactions on Circuits and Systems for Video Technology
Three-dimensional median-related filters for color image sequence filtering
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
A new switching vector median filter based on the non-causal linear prediction for the detection of impulse noise from colour images is presented. The proposed filter utilises non-causal linear prediction coefficients obtained from the block-by-block autocorrelation function to find prediction error by taking difference between the vector pixel value at the centre of the filter window and predicted vector pixel value at that location. The vector pixel at the centre of the filter window is replaced by vector median if the error is bigger than a pre-defined threshold. Extensive simulation experiments indicate that the new vector median filter outperforms the vector median filter as well as other techniques currently used to eliminate impulse noise from colour images.