In this paper, a real-time denoising filter based on modelling of stable hybrid models is presented. Thehybrid models are composed of the shearlet filter and the adaptive Wiener filter in different forms.The optimization of various models is accomplished by the genetic algorithm. Next, regarding thesignificant relationship between Optimal models and input images, changing the structure of Optim...

We propose a single-sided locally averaged adaptive coupling scheme for the synchronization of spatially extended systems. Coupling and synchronization are analyzed from the viewpoint of image filter construction and numerical dissipation. Single-sided locally averaged coupling is introduced based on the resolution argument of control process. Control sensors are adaptively selected and automat...

We propose the use of the Von Mises distribution for circular data to model interferometric phase images. Based on the kappa parameter of the Von Mises distribution a locally adaptive phase filter is developed. A two-sided confidence interval on the kappa values is constructed, and only phase measurements where kappa values fall inside this interval are input to the filter We additionally put m...

This paper proposes a new method for rejecting the Continuous Wave Interferences (CWI) in the Global Positioning System (GPS) receivers. The proposed filter is made by cascading an adaptive Finite Impulse Response (FIR) filter and a Wavelet Packet Transform (WPT) based filter. Although adaptive FIR filters are easy to implement and have a linear phase, they create self-noise in the rejection of...

Slow Feature Analysis (SFA) for vector-valued functions of several variables and apply it to the problem of blind source separation, in particular to image separation. It is generally necessary to use multivariate SFA instead of univariate SFA for separating multi-dimensional signals. For the linear case, an exact mathematical analysis is given, which shows in particular that the sources are pe...

An adaptive wavelet-based method is proposed for solving TV(total variation)–Allen–Cahn type models for multi-phase image segmentation. The adaptive algorithm integrates (i) grid adaptation based on a threshold of the sparse wavelet representation of the locally-structured solution; and (ii) effective finite difference on irregular stencils. The compactly supported interpolating-type wavelets e...

Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Coll and Morel proposed the Non-Local (NL-) means filter for image denoising. This method replaces a noisy pixel by the weighted average of other image pixels with weights reflecting the similarity between local neighborhoods of th...

Portion of a Landsat TM scene (Bands 3, 2, 1 as RGB) with normalized contrast enhancement. Dark lava flows and bright salt flats reveal little local detail. Same scene with the RGB LACE filter applied with Normalized input redistribution. The final image is a weighted average of the LACE filter output (90%) and the original image (10%). Enhanced contrast in dark and light areas brings out signi...

in this paper, behavior of teleoperation systems with modeling error and delay time error in smith predictor is discussed. in teleoperation systems, modeling error is inevitable. this paper discusses stability of teleoperation systems with modeling error. first, error of delay time in teleoperation systems by using of internet as communication channel is considered and the performance of smith ...

A spatial domain optimal trade-off Maximum Average Correlation Height (OT-MACH) filter has been previously developed and shown to have advantages over frequency domain implementations in that it can be made locally adaptive to spatial variations in the input image background clutter and normalised for local intensity changes. In this paper we compare the performance of the spatial domain (SPOT-...