Add to ORKGIn this paper the class of MRL-filters is presented as a general nonlinear tool for image processing. They consist of a linear combination between a morphological /rank filter and a linear filter. A gradient steepest descent method is proposed to optimally design these filters, using the averaged LMS algorithm. The filter design is viewed as a learning process, and convergence issues are theoretically and experimentally investigated. A systematic approach is proposed to overcome the problem of non-differentiability of the nonlinear filter component and to improve the numerical robustness of the training algorithm, which results in simple training equations. Image processing applications in system identification and image restoration are als...
In this dissertation the design of nonlinear filters for smoothing a noisy signal with information-b...
In this dissertation the design of nonlinear filters for smoothing a noisy signal with information-b...
Abstract—This paper proposes a new technique based on nonlinear Minmax Detector Based (MDB) filter f...
Non-linear image processing operators give excellent results in a number of image processing tasks s...
Abstract—Non-linear image processing operators give excellent results in a number of image processin...
The proposal of the thesis is basically to study techniques in digital image processing. This thesis...
This thesis covers the development of a series of new methods and the application of adaptive filte...
Non linear image processing operators give excellent results in a number of image processing tasks s...
Linear filtering techniques have serious limitations in dealing with signals that have been created ...
Within the last two decades a small group of researchers has built a useful, nontrivial theory of no...
This paper presents the idea of learning optimal filters for color image reconstruction based on a n...
A training framework is developed in this paper to design optimal nonlinear filters for various sign...
Adaptive image signal processing using the RO-based machine learning method and the block-processing...
Stack filters are a class of discrete-time, nonlinear filters which are defined in terms of positive...
This paper proposes a new technique based on nonlinear Minmax Detector Based (MDB) filter for image ...
In this dissertation the design of nonlinear filters for smoothing a noisy signal with information-b...
In this dissertation the design of nonlinear filters for smoothing a noisy signal with information-b...
Abstract—This paper proposes a new technique based on nonlinear Minmax Detector Based (MDB) filter f...
Non-linear image processing operators give excellent results in a number of image processing tasks s...
Abstract—Non-linear image processing operators give excellent results in a number of image processin...
The proposal of the thesis is basically to study techniques in digital image processing. This thesis...
This thesis covers the development of a series of new methods and the application of adaptive filte...
Non linear image processing operators give excellent results in a number of image processing tasks s...
Linear filtering techniques have serious limitations in dealing with signals that have been created ...
Within the last two decades a small group of researchers has built a useful, nontrivial theory of no...
This paper presents the idea of learning optimal filters for color image reconstruction based on a n...
A training framework is developed in this paper to design optimal nonlinear filters for various sign...
Adaptive image signal processing using the RO-based machine learning method and the block-processing...
Stack filters are a class of discrete-time, nonlinear filters which are defined in terms of positive...
This paper proposes a new technique based on nonlinear Minmax Detector Based (MDB) filter for image ...
In this dissertation the design of nonlinear filters for smoothing a noisy signal with information-b...
In this dissertation the design of nonlinear filters for smoothing a noisy signal with information-b...
Abstract—This paper proposes a new technique based on nonlinear Minmax Detector Based (MDB) filter f...