The vector median filter has good filtering capabilities; nevertheless, its huge computational complexity significantly limits its practical usability. A vector median filter based on a fast approximation of the Euclidean norm is presented. The proposed algorithm couples computational and filtering effectiveness, and it is well suited for hardware implementation. Theoretical and experimental results regarding both approximation error and speed improvement prove the validity of the proposed algorithm
A new class of nonlinear Filters called Vector Median Rational Hybrid Filter (VMRHF) [1][2] has been...
International audienceMedian filtering is a well-known method used in a wide range of application fr...
Though the noise removal capability of multivariatemedianfilters has been carefully investigated, a ...
The vector median filter has good filtering capabilities; nevertheless, its huge computational compl...
For reducing impulsive noise without degrading image contours, median filtering is a powerful tool. ...
A major drawback with vector median filters is their high computational complexity. A fast algorithm...
The need for real-time computation of the Euclidean norm of a vector arises frequently in many signa...
Abstract. The vector median filter(VMF) is a useful and common tool for noise removal in color image...
Abstract — The median filter is one of the basic building blocks in many image processing situations...
Median filters (MF) are used both to filter ‘salt and pepper’ noise from signals and images and in o...
In this paper we present a class of order statistic filters named adaptive vector median. These filt...
10.1109/ICOSP.2010.5655365International Conference on Signal Processing Proceedings, ICSP426-42
A new class of nonlinear Filters called Vector Median Rational Hybrid Filter (VMRHF) [1][2] has been...
This master's thesis introduces the areas of approximate computing, image filtering in hardware and ...
This work presents an efficient fast parallel architecture of the Vector Median Filter (VMF) using c...
A new class of nonlinear Filters called Vector Median Rational Hybrid Filter (VMRHF) [1][2] has been...
International audienceMedian filtering is a well-known method used in a wide range of application fr...
Though the noise removal capability of multivariatemedianfilters has been carefully investigated, a ...
The vector median filter has good filtering capabilities; nevertheless, its huge computational compl...
For reducing impulsive noise without degrading image contours, median filtering is a powerful tool. ...
A major drawback with vector median filters is their high computational complexity. A fast algorithm...
The need for real-time computation of the Euclidean norm of a vector arises frequently in many signa...
Abstract. The vector median filter(VMF) is a useful and common tool for noise removal in color image...
Abstract — The median filter is one of the basic building blocks in many image processing situations...
Median filters (MF) are used both to filter ‘salt and pepper’ noise from signals and images and in o...
In this paper we present a class of order statistic filters named adaptive vector median. These filt...
10.1109/ICOSP.2010.5655365International Conference on Signal Processing Proceedings, ICSP426-42
A new class of nonlinear Filters called Vector Median Rational Hybrid Filter (VMRHF) [1][2] has been...
This master's thesis introduces the areas of approximate computing, image filtering in hardware and ...
This work presents an efficient fast parallel architecture of the Vector Median Filter (VMF) using c...
A new class of nonlinear Filters called Vector Median Rational Hybrid Filter (VMRHF) [1][2] has been...
International audienceMedian filtering is a well-known method used in a wide range of application fr...
Though the noise removal capability of multivariatemedianfilters has been carefully investigated, a ...