Topic
Median filter
About: Median filter is a research topic. Over the lifetime, 12479 publications have been published within this topic receiving 178253 citations.
Papers published on a yearly basis
Papers
More filters
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TL;DR: A systematic design procedure is described for the proposed filter-based synchronization method, taking into account the specified line frequency tolerance.
Abstract: A simple combination of nonlinear and linear digital signal processing methods is proposed for efficient noise reduction in zero crossing detectors. The method is very robust against strong impulsive noise, typically encountered in thyristor power converters, where reliable zero crossing detection is required for firing synchronization. A systematic design procedure is described for the proposed filter-based synchronization method, taking into account the specified line frequency tolerance. The fully digital signal processing approach allows compact implementations, and supports flexible interfacing to digital motor control systems. >
168 citations
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TL;DR: An improved median filtering algorithm is proposed that reduces the noise and retains the details of the image and the complexity is decreased to O (N), and the performance of noise reduction has effectively improved.
167 citations
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26 Jul 2010TL;DR: An efficient and practical method for computing accurate derivatives and integrals of locally-weighted histograms over large neighborhoods and a method to combat the over-sharpening that is typical of histogram-based edge-preserving smoothing are presented.
Abstract: Local image histograms contain a great deal of information useful for applications in computer graphics, computer vision and computational photography. Making use of that information has been challenging because of the expense of computing histogram properties over large neighborhoods. Efficient algorithms exist for some specific computations like the bilateral filter, but not others. Here, we present an efficient and practical method for computing accurate derivatives and integrals of locally-weighted histograms over large neighborhoods. The method allows us to compute the location, height, width and integral of all local histogram modes at interactive rates. Among other things, it enables the first constant-time isotropic median filter, robust isotropic image morphology operators, an efficient "dominant mode" filter and a non-iterative alternative to the mean shift. In addition, we present a method to combat the over-sharpening that is typical of histogram-based edge-preserving smoothing. This post-processing step should make histogram-based filters not only fast and efficient, but also suitable for a variety of new applications.
166 citations
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01 Jan 1975
TL;DR: Two-Dimensional transforms for two-dimensional nonrecursive filters for recursive filtering and noise considerations in digital image processing hardware.
Abstract: Two-Dimensional transforms.- Two-dimensional nonrecursive filters.- Two-dimensional recursive filtering.- Image enhancement and restoration.- Noise considerations in digital image processing hardware.- Recent advances in picture processing and digital filtering.
166 citations