Removing Noise and Preserving Details with Relaxed Median Filters
Journal of Mathematical Imaging and Vision
Communications of the ACM
Signal-dependent rank-ordered-mean (SD-ROM) filter
Nonlinear image processing
Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
EURASIP Journal on Applied Signal Processing
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
Selective removal of impulse noise based on homogeneity level information
IEEE Transactions on Image Processing
A universal noise removal algorithm with an impulse detector
IEEE Transactions on Image Processing
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In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then passed through the interpolation and identity filters, respectively. Extensive simulations show that the proposed filter performs better than other nonlinear filters in preserving desired image features while reducing impulse noise effectively.