Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Detail-preserving median based filters in image processing
Pattern Recognition Letters
Automatic Construction of Tree-Structural Image Transformations Using Genetic Programming
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Selective removal of impulse noise based on homogeneity level information
IEEE Transactions on Image Processing
Impulse noise filtering using robust pixel-wise S-estimate of variance
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Hi-index | 0.00 |
A new evolutionary approach for construction of uniform impulse noise filter is presented. Genetic programming is used for combining the basic image transformations and filters into tree structure, which can accurately estimate noise map. Proposed detector is employed for building switching-scheme filter, where recursively implemented α-trimmed mean is used as the estimator of corrupted pixel values. The proposed evolutionary filtering structure shows very good results in removal of uniform impulse noise, for wide range of noise probabilities and different test images.