Add to ORKGThis paper deals with a large class of nonlinear digital filters, the stack filters, which contain all combinations and compositions of rank order operators within a finite window. Attention is given to design and effective hardware implementation of an optimal stack filter for image processing. Presented simulation results confirm robustness of stack filters in the image restoration corrupted by impulsive noise
With the development of novel parallel architectures for image processing, the implementation of wel...
Linear filtering techniques have serious limitations in dealing with signals that have been created ...
With the development of novel parallel architectures for image processing, the implementation of wel...
This paper deals with a large class of nonlinear digital filters, the stack filters, which contain a...
Stack filters are easily implemented nonlinear filters which include all rank-order operators and al...
Stack filters are a class of discrete-time, nonlinear filters which are defined in terms of positive...
This paper is oriented to filtering by fuzzy stack filter of monochromatic images distorted with imp...
A training framework is developed in this paper to design optimal nonlinear filters for various sign...
In recent years, nonlinear methods and techniques have emerged as intensive research topics in the f...
A class of sliding window operators called generalized stack filters is developed. This class of fil...
Within the last two decades a small group of researchers has built a useful, nontrivial theory of no...
Non-linear digital filters have been demonstrated to be useful in a variety of situations. But most ...
In this paper, we extend the configuration of stack filtering to develop a new class of stack-type f...
Stack filters are a class of non-linear spatial operators used for suppression of noise in signals. ...
With the development of novel parallel architectures for image processing, the implementation of wel...
With the development of novel parallel architectures for image processing, the implementation of wel...
Linear filtering techniques have serious limitations in dealing with signals that have been created ...
With the development of novel parallel architectures for image processing, the implementation of wel...
This paper deals with a large class of nonlinear digital filters, the stack filters, which contain a...
Stack filters are easily implemented nonlinear filters which include all rank-order operators and al...
Stack filters are a class of discrete-time, nonlinear filters which are defined in terms of positive...
This paper is oriented to filtering by fuzzy stack filter of monochromatic images distorted with imp...
A training framework is developed in this paper to design optimal nonlinear filters for various sign...
In recent years, nonlinear methods and techniques have emerged as intensive research topics in the f...
A class of sliding window operators called generalized stack filters is developed. This class of fil...
Within the last two decades a small group of researchers has built a useful, nontrivial theory of no...
Non-linear digital filters have been demonstrated to be useful in a variety of situations. But most ...
In this paper, we extend the configuration of stack filtering to develop a new class of stack-type f...
Stack filters are a class of non-linear spatial operators used for suppression of noise in signals. ...
With the development of novel parallel architectures for image processing, the implementation of wel...
With the development of novel parallel architectures for image processing, the implementation of wel...
Linear filtering techniques have serious limitations in dealing with signals that have been created ...
With the development of novel parallel architectures for image processing, the implementation of wel...