Abstract — The median filter is one of the basic building blocks in many image processing situations. However, its use has long been hampered by its algorithmic complexity of O(r) in the kernel radius. With the trend toward larger images and proportionally larger filter kernels, the need for a more efficient median filtering algorithm becomes pressing. In this correspondence, a new, simple yet much faster algorithm exhibiting O(1) runtime complexity is described and analyzed. It is compared and benchmarked against previous algorithms. Extensions to higher-dimensional or higher-precision data and an approximation to a circular kernel are presented as well. I
Abstract. The vector median filter(VMF) is a useful and common tool for noise removal in color image...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
This work develops some algorithms for efficient implementation of mean and separable median filters...
Abstract—To date, the histogram-based running median filter of Perreault and Hébert is considered t...
This Paper presents an efficient algorithm for median filtering with a 3x3 filter kernel with only a...
Weighted median, in the form of either solver or filter, has been employed in a wide range of comput...
A two-step algorithm exploiting a reduced local grey-level histogram is proposed for efficient runni...
We propose a new bilateral filtering algorithm with com-putational complexity invariant to filter ke...
A major drawback with vector median filters is their high computational complexity. A fast algorithm...
The vector median filter has good filtering capabilities; nevertheless, its huge computational compl...
Fast algorithms to compute min, median, max or any other order statistic filter transforms are descr...
Though the noise removal capability of multivariatemedianfilters has been carefully investigated, a ...
A successful solution to solve an impulse noise is to use median filtration proposed by John Tuke in...
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each...
This paper highlights some fast algorithms for image filtering, specifically – box and Gaussian smoo...
Abstract. The vector median filter(VMF) is a useful and common tool for noise removal in color image...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
This work develops some algorithms for efficient implementation of mean and separable median filters...
Abstract—To date, the histogram-based running median filter of Perreault and Hébert is considered t...
This Paper presents an efficient algorithm for median filtering with a 3x3 filter kernel with only a...
Weighted median, in the form of either solver or filter, has been employed in a wide range of comput...
A two-step algorithm exploiting a reduced local grey-level histogram is proposed for efficient runni...
We propose a new bilateral filtering algorithm with com-putational complexity invariant to filter ke...
A major drawback with vector median filters is their high computational complexity. A fast algorithm...
The vector median filter has good filtering capabilities; nevertheless, its huge computational compl...
Fast algorithms to compute min, median, max or any other order statistic filter transforms are descr...
Though the noise removal capability of multivariatemedianfilters has been carefully investigated, a ...
A successful solution to solve an impulse noise is to use median filtration proposed by John Tuke in...
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each...
This paper highlights some fast algorithms for image filtering, specifically – box and Gaussian smoo...
Abstract. The vector median filter(VMF) is a useful and common tool for noise removal in color image...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
This work develops some algorithms for efficient implementation of mean and separable median filters...