The ever increasing demand for high image quality requires fast and efficient methods for noise reduction. The best-known order-statistics filter is the median filter. A method is presented to calculate the median on a set of N W-bit integers in W/B time steps. Blocks containing B-bit slices are used to find B-bits of the median; using a novel quantum-like representation allowing the median to be computed in an accelerated manner compared to the best-known method (W time steps). The general method allows a variety of designs to be synthesised systematically. A further novel architecture to calculate the median for a moving set of N integers is also discussed
Median filters are a special class of ranked order filters used for smoothing signals. These filters...
AbstractThe median filtering algorithm has good noise-reducing effects, but its time complexity is n...
Ranked-order and median filters and nonlinear digital filters that use a moving window and a ranking...
The ever increasing demand for high image quality requires fast and efficient methods for noise redu...
The core processing step of the noise reduction median filter technique is to find the median within...
The time to process each of W/B processing blocks of a median calculation method on a set of N W-bit...
The time to process each of the W/B processing blocks of a median calculation method on a set of N W...
A novel algorithm is proposed to compute the median of a running window of m integers in O(lg lg m) ...
In this paper, an algorithm of the median-cut quantization (MCQ) is proposed. MCQ is the technique t...
This paper presents a software-based study of a hardware-based non-sorting median calculation method...
This work develops some algorithms for efficient implementation of mean and separable median filters...
A two-step algorithm exploiting a reduced local grey-level histogram is proposed for efficient runni...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each...
Fast algorithms to compute min, median, max or any other order statistic filter transforms are descr...
Median filters are a special class of ranked order filters used for smoothing signals. These filters...
AbstractThe median filtering algorithm has good noise-reducing effects, but its time complexity is n...
Ranked-order and median filters and nonlinear digital filters that use a moving window and a ranking...
The ever increasing demand for high image quality requires fast and efficient methods for noise redu...
The core processing step of the noise reduction median filter technique is to find the median within...
The time to process each of W/B processing blocks of a median calculation method on a set of N W-bit...
The time to process each of the W/B processing blocks of a median calculation method on a set of N W...
A novel algorithm is proposed to compute the median of a running window of m integers in O(lg lg m) ...
In this paper, an algorithm of the median-cut quantization (MCQ) is proposed. MCQ is the technique t...
This paper presents a software-based study of a hardware-based non-sorting median calculation method...
This work develops some algorithms for efficient implementation of mean and separable median filters...
A two-step algorithm exploiting a reduced local grey-level histogram is proposed for efficient runni...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each...
Fast algorithms to compute min, median, max or any other order statistic filter transforms are descr...
Median filters are a special class of ranked order filters used for smoothing signals. These filters...
AbstractThe median filtering algorithm has good noise-reducing effects, but its time complexity is n...
Ranked-order and median filters and nonlinear digital filters that use a moving window and a ranking...