To preserve edge information during noise removal, bilateral filtering is designed as a powerful denoising filter using Gaussian function with geometric and photometric information. Unfortunately, peak noise will be regarded as effective high-frequency information and degrade the performance of bilateral filter. We design a new robust denoising filter employing image preprocessing and high-freq...

An approach for implementation of control system with anti-windup compensation using fault detection multifiltering is presented. The residual signal used for anti-windup compensation is obtained from a filter bank (i.e. multifiltering) for fault detection, thus it is not necessary its explicit measurement. This residual signal is considered as a fault, in order to design the fault detection fi...

In this work, a novel nonlinear filter, called tri-state median (TSM) filter, is proposed for preserving image details while effectively suppressing impulse noise. We incorporate the standard median (SM) filter and the center weighted median (CWM) filter into a noise detection framework to determine whether a pixel is corrupted, before applying filtering unconditionally. Extensive simulation re...

In this paper, we present a Probabilistic Detection-based Particle Filter (PD-PF) for tracking a variable number of interacting targets. When the objects do not interact with each other, our method performs like the deterministic detection-base methods. When the objects are in close proximity, the interactions and occlusions are modelled by a mixed proposal constructed by probabilistic detectio...

A novel algorithm, termed a Boosted Adaptive Particle Filter (BAPF), for integrated face detection and face tracking is proposed. The proposed algorithm is based on the synthesis of an adaptive particle filtering algorithm and the AdaBoost face detection algorithm. An Adaptive Particle Filter (APF), based on a new sampling technique, is proposed. The APF is shown to yield more accurate estimate...

The real time moving object and face detections are used for various security applications. In this paper, we propose FPGA implementation of moving object and face detection with adaptive threshold. The input images are passed through Gaussian filter. The 2D-DWT is applied on Gaussian filter output and considered only LL band for further processing to detect object/face. The modified background...

In order to detect the abnormality in brain signals, it is essential to study the behavior of spikes in Electroencephalogram (EEG). Normally, recorded EEG signals contain large amount of artifacts like spikes whose detection is a technically challenged one. Morphological filters are generally used to separate these spikes from the recorded EEG signal. In existing techniques, the Gaussian functi...

The performance of a r a d a r detection system can be improved through postdetection processing. Two popular postdetection processors are the n-pulse and binary integrators. This paper examines the performance of the binary integrator from the viewpoint of order statistics and describes the binary integrator as a n order statistic (OS) filter. A general analysis is developed for OS filters in ...

While the noise reduction performance of the Generalized Sidelobe Canceller (GSC) depends on the validity of a priori assumptions about the signal model, the recently developed multi-channel Wiener filter technique does not rely on any such a priori information. This provides a potential benefit of the latter over GSC. However, both techniques also rely on a speech detection algorithm. In this ...

Field test results are presented for a prototype long-wave adaptive imager that provides both hyperspectral imagery and contrast imagery based on the direct application of hyperspectral detection algorithms in hardware. Programmable spatial light modulators are used to provide both spectral and spatial resolution using a single element detector. Programmable spectral and spatial detection filte...