This paper introduces fast and effective fusing of images through merging of multiple images for creating a highly information fused image .Here the edge preserving smoothing filter is used as guided filter. The fusion criterion is to minimize the different error between the fused image and input image The proposed method is based on two scale decomposition of image into a detail layer capturin...

A prevalent problem in statistical signal processing, applied statistics, and time series analysis is the calculation of the smoothed posterior distribution, which describes the uncertainty associated with a state, or a sequence of states, conditional on data from the past, the present, and the future. The aim of this paper is to provide a rigorous foundation for the calculation, or approximati...

In this paper, we present an iterative Kalman smoother (IKS) for robust 3D localization and mapping, using visual and inertial measurements. Contrary to extended Kalman filter (EKF) methods, smoothing increases the convergence rate of critical parameters (e.g., IMU’s velocity and camera’s clock drift), improves the positioning accuracy during challenging conditions (e.g., scarcity of visual fea...

introduction one of the most important pre-processing steps in optical coherence tomography (oct) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of oct images. materials and methods the present study focused on speckle noise reduction and edge detection techniques. statistical filters with different masks and noise variances were applied on ...

The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. In this paper, we proposed an image based preprocessing technique to enhance the quality of the underwater images. The proposed technique comprises a combination of four filters such as homomorphic filtering, wavelet denoising, bilateral filter and contrast equalization. These filters are ...

Recently, the fixed-pole design of parallel second-order filters has been proposed to accomplish arbitrary frequency resolution similarly to Kautz filters, at 2/3 of their computational cost. This paper relates the parallel filter to the complex smoothing of transfer functions. Complex smoothing is a well-established method for limiting the frequency resolution of audio transfer functions for a...

In this paper, we present a parallel algorithm for edge detection based on Infinite Impulse Response filter (IIR filter). In particular, the Infinite size Symmetric Exponential Filter (ISEF) that is an optimal IIR filter and computationally efficient smoothing filter is studied. The proposed algorithm exploits efficiently all aspects of potential parallelism (spatial parallelism, temporal paral...

In this paper we present a unified discussion of different approaches to the identification of smoothing spline analysis of variance (ANOVA) models: (i) the “classical” approach (in the line of Wahba in Spline Models for Observational Data, 1990; Gu in Smoothing Spline ANOVA Models, 2002; Storlie et al. in Stat. Sin., 2011) and (ii) the State-Dependent Regression (SDR) approach of Young in Nonl...

In this paper we will present a series of experiments comparing the correlation characteristics of two nonlinear data smoothing methods. Firstly the Recursive Median sieve, a multiscale dataanalysis system, implemented as a cascade of Recursive Median (RM) filters of increasing window lengths. Secondly a plain RM filter, applied directly to the original input signal. The point that we want to m...

Typical EMG amplitude estimators use a fixed window length for smoothing the amplitude estimate. When the EMG amplitude is dynamic, varying the smoothing length as a function of time can produce a higher quality amplitude estimate. This paper develops and investigates (in simulation and experimentally) a new technique for adaptive window length estimation. The simulations suggest that the "best...