Journal ArticleDOI
Detail-preserving adaptive conditional median filters
TLDR
A conditional median filter that is able to preserve significantly more image detail than the conventional median filter when suppression of impulsive noise is desired by means of bypassing filtering when the local signal variation is below an adaptively adjusted threshold is proposed.Abstract:
We propose a conditional median filter that is able to
preserve significantly more image detail than the conventional median filter when suppression of impulsive noise is desired. It does so by means of bypassing filtering when the local signal variation
is below an adaptively adjusted threshold. Another advantage of our algorithm is that it is simple to implement and it can be used with any of the available fast median filter algorithms. In addition, it can be easily integrated into existing median filter hardware. We compare the complexity of our algorithm with that of another proposed algorithm with similar filtering objectives. The performance of the new algorithm on real images is compared to that of median and center-weighted median filters.read more
Citations
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Journal ArticleDOI
Selective removal of impulse noise based on homogeneity level information
TL;DR: A decision-based, signal-adaptive median filtering algorithm for removal of impulse noise, which achieves accurate noise detection and high SNR measures without smearing the fine details and edges in the image.
Journal ArticleDOI
An efficient detail-preserving approach for removing impulse noise in images
TL;DR: A new efficient algorithm for the removal of impulse noise from corrupted images while preserving image details is presented, based on the alpha-trimmed mean, which is a special case of the order-statistics filter.
Journal ArticleDOI
Cyclic motion detection for motion based recognition
TL;DR: The motion of a walking person is analyzed by examining cycles in the movement using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by specific points on the object as it performs cyclic motion.
Journal ArticleDOI
Design and Development of an Improved Adaptive Median Filtering Method for Impulse Noise Detection
Mamta Juneja,Parvinder S. Sandhu +1 more
TL;DR: In this paper, an adaptive filtering approach is proposed to restore images corrupted by salt and pepper noise, where the noise is attenuated by estimating the values of the noisy pixels with a switching based median filter applied exclusively to those neighborhood pixels not labeled as noisy.
Journal ArticleDOI
An efficient algorithm for the removal of impulse noise from corrupted images
TL;DR: An efficient algorithm is proposed that can successfully remove impulse noise from corrupted images while preserving image details and significantly outperforms many other well-known techniques for image noise removal.
References
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Journal ArticleDOI
A fast two-dimensional median filtering algorithm
Thomas S. Huang,G. Yang,G. Tang +2 more
TL;DR: A fast algorithm for two-dimensional median filtering based on storing and updating the gray level histogram of the picture elements in the window is presented, which is much faster than conventional sorting methods.
Journal ArticleDOI
Comments on "Theoretical analysis of the max/median filter" by G.R. Arce and M. P. McLaughlin
A. Nieminen,Y. Neuvo +1 more
TL;DR: In the original paper (ibid., vol.ASSP-35, no.1, p.60-9, Jan. 1987), an approach (the max/median filter) to remove noise from images without distorting geometrical information was introduced.
Journal ArticleDOI
Fast on-line implementation of two-dimensional median filtering
TL;DR: A fast two-dimensional median filtering technique for on-line image-processing applications, using a minicomputer, and a comparison with an efficient sorting method is carried out in terms of computing time and memory requirements.
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