In this paper a novel approach to the problem of impulsive noise removal in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maxim...
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In this paper a novel approach to the problem of impulsive noise removal in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the standard vector median filter and preserves better edges and fine image details. Simulation results show that the proposed method outperforms other standard algorithms of the reduction of impulsive noise in color images.
In this paper, a vector generalization of weighted median optimization approaches is provided. The proposed optimized weighted vector median filters utilize the relationship between standard median filter and vector m...
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In this paper, a vector generalization of weighted median optimization approaches is provided. The proposed optimized weighted vector median filters utilize the relationship between standard median filter and vector median filter and also take the advantage of the generalized adaptive optimization algorithms initially developed for weighted median filters.
In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-stat...
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In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-statistic theory, generalized directional distance filter and standard sigma filter concept. The principles of the design are explained in detail. Simulation studies indicate that the proposed method is computationally attractive and is able to achieve excellent balance between the image-detail preservation and the noise attenuation.
We provide new adaptive multichannel filtering schemes for the detection and removal of impulsive noise, bit errors and outliers in digital color images. The proposed nonlinear filter is based on the generalized multi...
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We provide new adaptive multichannel filtering schemes for the detection and removal of impulsive noise, bit errors and outliers in digital color images. The proposed nonlinear filter is based on the generalized multichannel concept of the local entropy contrast and the robust order-statistics theory. The proposed entropy based directional distance filter is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard multichannel filters outputting the lowest ranked vector as the output sample.
This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the...
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This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system.
With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing al...
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With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing algorithms like fuzzy logic, learning automata, evolutionary algorithms, etc. In this paper we discuss the fusion of these soft-computing methodologies and existing tools for discrete event simulation (DEVS) for multi-agent simulation. We propose a methodology for combining the agent-based architecture, discrete event system and soft-computing methods in the simulation of multi-agent robotics and network security system. We also define a framework called Virtual Laboratory (V-Lab/spl reg/) for multi-agent simulation using intelligent tools.
Although the need for visible watermarking for copyright notification is apparent, visible watermarking has received much less attention than invisible watermarking. In this paper, we present a general framework for p...
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Although the need for visible watermarking for copyright notification is apparent, visible watermarking has received much less attention than invisible watermarking. In this paper, we present a general framework for performing visible watermarking based on some concepts of image fusion. Especially, we introduce a new visible watermarking algorithm in which the watermarked coefficients are computed using global as well as local characteristics of both the host and watermark images.
Phonocardiography is defined as graphics representation of heart sounds, which rise from heart and surrounding vessels. These sounds are scanned from skin surface. Phonocardiography provides significant help with diag...
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Phonocardiography is defined as graphics representation of heart sounds, which rise from heart and surrounding vessels. These sounds are scanned from skin surface. Phonocardiography provides significant help with diagnosing of inborn and non-inborn heart diseases and pathological changes in vessels. This method is particularly valuable for surgeons when deciding whether or not to perform a surgery. During the phonocardiography scan is simultaneously performed an electrocardiogram scan for analyzing heart sounds. Sampled signal are transferred to the computer via sound card input. Signals sampled by software are saved into the database and they are analyzed from the database later. Software allows simultaneously sampling and real-time analyzing signals
In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images an...
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In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images and that it enables efficient spot location and estimation of the gene expression level due to the smoothing effect and preservation of the spot edges. This paper contains the comparison of the new technique of noise reduction with the standard procedures used for the processing of vector valued images, as well as examples of the efficiency of the new algorithm when applied to typical cDNA microarray images.
The article discuss about possibilities and an efficiency ofthe processing signal by digital signal processors in embedded systems. There is compare signal processing among the other process techniques and describe th...
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The article discuss about possibilities and an efficiency ofthe processing signal by digital signal processors in embedded systems. There is compare signal processing among the other process techniques and describe their advantages and disadvantages. There is presented principle of controlling signal filtration and Fast Fourier transfonnation in real time for illustration ofdigital signal processor functionality. One of signal processor application in embedded systems is speech dial and computing speech signal
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