نتایج جستجو برای: gaussian filter

تعداد نتایج: 194298  

2016
Ramanpreet Kaur Sharanjit Singh Amardeep Singh

To remove the various types of noises that are either added in the image during capturing process or introduced into the image during transmission process, different types of Image Enhancement or noise reduction processes are applied. A good noise reduction method can reduce the noise level as well as preserve details of the image. This paper deals with removing the noise modeled with either a ...

Solar cell is known as a sustainable and environment friendly source of energy in nature. It converts sunlight directly into electricity with zero emission and also without side-effects on the environment. But, solar cells have optical and mechanical defects which include the type of micro crack, the size of crack, and the noise from electrical or electromechanical interference during the image...

1997
Yoav Rosenberg Michael Werman

The KulmanJilter is a very eficient optimal$ltel; however it has the precondition that the noises of the process and of the measurement are Gaussian. In this paper we introduce ‘The General Distribution Filter’ which is an optimal jilter that can be used even where the distributions are not Gaussian. An eficient practical implementation of theJilter is possible where the distributions are discr...

Journal: :Entropy 2017
Bowen Hou Zhangming He Xuanying Zhou Haiyin Zhou Dong Li Jiongqi Wang

As one of the most critical issues for target track, α-jerk model is an effective maneuver target track model. Non-Gaussian noises always exist in the track process, which usually lead to inconsistency and divergence of the track filter. A novel Kalman filter is derived and applied on α-jerk tracking model to handle non-Gaussian noise. The weighted least square solution is presented and the sta...

Journal: :IEEE Trans. Communications 1999
Ioannis N. Psaromiligkos Stella N. Batalama Dimitris A. Pados

Receiver architectures in the form of a linear filter front-end followed by a hard-limiting decision maker are considered for DS-CDMA communication systems. Based on stochastic approximation concepts a recursive algorithm is developed for the adaptive optimization of the linear filter front-end in the minimum BER sense. The recursive form is decision driven and distribution free. For additive w...

2010
Mark L. Psiaki Jonathan R. Schoenberg

A new method has been developed to approximate one Gaussian mixture by another in a process that generalizes the idea of importance re-sampling in a particle filter. This algorithm is being developed as part of an effort to generalize the concept of a particle filter. In a traditional particle filter, the underlying probability density function is described by particles: Dirac delta functions w...

Journal: :EURASIP J. Adv. Sig. Proc. 2010
Gustaf Hendeby Rickard Karlsson Fredrik Gustafsson

For computational efficiency, it is important to utilize model structure in particle filtering. One of the most important cases occurs when there exists a linear Gaussian substructure, which can be efficiently handled by Kalman filters. This is the standard formulation of the Rao-Blackwellized particle filter (RBPF). This contribution suggests an alternative formulation of this wellknown result...

2001
Yew Kun Chee Yeng Chai Soh

In image deconvolution or restoration using Kalman filter, the image and blur models are required to be known for the restoration process. Generally, the accuracy of the restoration depends on the accuracy of the given models. Unfortunately, the image and blur models are normally unknown in practice. To solve the problem, an identification stage is employed to estimate the image and blur models...

Journal: :journal of advances in computer research 0
marzieh azarian department of computer engineering and information technology, science and research branch, islamic azad university, khouzestan-iran reza javidan department of computer engineering and it, shiraz university of technology, shiraz, iran mashallah abbasi dezfuli department of computer engineering and information technology, science and research branch, islamic azad university, khouzestan-iran

texture image analysis is one of the most important working realms of image processing in medical sciences and industry. up to present, different approaches have been proposed for segmentation of texture images. in this paper, we offered unsupervised texture image segmentation based on markov random field (mrf) model. first, we used gabor filter with different parameters’ (frequency, orientatio...

2009
Om Prakash Verma Madasu Hanmandlu Anil Singh Parihar Vamsi Krishna Madasu

This paper presents two fuzzy filters for the removal of both Impulse and Gaussian noise in color images. A combination of these two filters also helps in eliminating a mixture of these two noises. For dealing with the Impulse noise, an algorithm is developed to search for a set of uncorrupted pixels in the neighbourhood of the pixel of interest (i.e. the central pixel) and to compute the media...

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