Validity of Definition Assessments for Motion Blur Identification

2011 ◽  
Vol 474-476 ◽  
pp. 1578-1582
Author(s):  
Shou Bing Xiang ◽  
Jin Ping He ◽  
Guang Da Su
Keyword(s):  
Experimental Data ◽  
Motion Blur ◽  
Linear Motion ◽  
Variable Parameters ◽  
Blur Identification ◽  
Image Definition

In this paper, based on the series of test images which are synthesized through the linear motion blur model with continue variable parameters, we define the sensitivity of image definition assessments. Experimental data are presented that the validity of definition assessments for motion blur identification closely relates to the sensitivity of definition assessments. The higher the sensitivity is, the better the validity of definition assessments for identification performs.

Research of NOx Emissions Characteristic of Engine Fuelled with M40

2011 ◽  
Vol 382 ◽  
pp. 22-25
Author(s):  
Xin Guang Li ◽  
Bing Yuan Han ◽  
Rong Hai Yang
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Simulation Model ◽  
Compression Ratio ◽  
Gasoline Engine ◽  
Volume Ratio ◽  
Nox Emissions ◽  
Cylinder Pressure ◽  
Variable Parameters ◽  
Vehicle Engine

A numerical simulation model for gasoline engine was established by GT-POWER in order to study the NOx emissions characteristic of vehicle engine fuelled with M40 (the methanol and the gasoline in volume ratio 40∶60) and was validated by Experimental data. Based on the model, the variable parameters study including air-fuel radio, compression radio and ignition advance angle were carried out. The model results showed that the compression radio and the air-fuel radio played an important role during the NOx emissions characteristic. There is a significant improvement of the NOx emissions with the compression ratio increases. The cylinder pressure increased with the improvement of the compression ratio brought out the NOx emissions rise. With the improvement of the air-fuel ratio, NOx emissions increased first and then decreased. A larger ignition advance angle can increase the pressure and the temperature of the cylinder.

Dynamics of Scratch Drive Actuators during Stepwise Motion

2014 ◽  
Vol 664 ◽  
pp. 104-110
Author(s):  
Mansour Abtahi ◽  
Gholamreza Vossoughi ◽  
Ali Meghdari
Keyword(s):  
Experimental Data ◽  
Dynamic Behavior ◽  
Dynamic Equation ◽  
Newton's Method ◽  
Dynamic Equations ◽  
Comprehensive Model ◽  
Linear Motion ◽  
Hamilton’S Principle ◽  
Step Size ◽  
Output Force

In this paper, a comprehensive model is used to describe dynamic behavior of SDA and its components during stepwise motion. In this model, Hamilton’s principle and Newton's method are used to extract dynamic equations of the SDA plate and dynamic equation for the linear motion of SDA. Comparison between the modeling results and available experimental data shows that this model is very effective in predicting some design objectives such as step size and output force for this type of actuators.

scholarly journals Application of the partitioning method to specific Toeplitz matrices

2013 ◽  
Vol 23 (4) ◽  
pp. 809-821 ◽  
Author(s):  
Predrag Stanimirović ◽  
Marko Miladinović ◽  
Igor Stojanović ◽  
Sladjana Miljković
Keyword(s):  
Toeplitz Matrices ◽  
Motion Blur ◽  
Computational Time ◽  
Linear Motion ◽  
Column Matrix ◽  
Arbitrary Size ◽  
Convolution Kernels ◽  
Time Required ◽  
Block Column

Abstract We propose an adaptation of the partitioning method for determination of theMoore-Penrose inverse of a matrix augmented by a block-column matrix. A simplified implementation of the partitioning method on specific Toeplitz matrices is obtained. The idea for observing this type of Toeplitz matrices lies in the fact that they appear in the linear motion blur models in which blurring matrices (representing the convolution kernels) are known in advance. The advantage of the introduced method is a significant reduction in the computational time required to calculate the Moore-Penrose inverse of specific Toeplitz matrices of an arbitrary size. The method is implemented in MATLAB, and illustrative examples are presented.

scholarly journals Application of the pseudoinverse computation in reconstruction of blurred images

Filomat ◽  
2012 ◽  
Vol 26 (3) ◽  
pp. 453-465 ◽  
Author(s):  
Sladjana Miljkovic ◽  
Marko Miladinovic ◽  
Predrag Stanimirovic ◽  
Igor Stojanovic
Keyword(s):  
Mathematical Model ◽  
Direct Method ◽  
Motion Blur ◽  
Linear Motion ◽  
Numerical Examples ◽  
High Level ◽  
Blurred Images ◽  
Programming Package ◽  
A Direct Method ◽  
Very High

We present a direct method for removing uniform linear motion blur from images. The method is based on a straightforward construction of the Moore-Penrose inverse of the blurring matrix for a given mathematical model. The computational load of the method is decreased significantly with respect to other competitive methods, while the resolution of the restored images remains at a very high level. The method is implemented in the programming package MATLand respective numerical examples are presented.

scholarly journals Using a Blur Metric to Estimate Linear Motion Blur Parameters

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Taiebeh Askari Javaran ◽  
Hamid Hassanpour
Keyword(s):  
Image Processing ◽  
Health Services ◽  
Motion Blur ◽  
Linear Motion ◽  
Sensitive Stage ◽  
Blurred Image ◽  
The Given ◽  
Blur Direction ◽  
Sharp Version ◽  
Monotonic Relation

Motion blur is a common artifact in image processing, specifically in e-health services, which is caused by the motion of a camera or scene. In linear motion cases, the blur kernel, i.e., the function that simulates the linear motion blur process, depends on the length and direction of blur, called linear motion blur parameters. The estimation of blur parameters is a vital and sensitive stage in the process of reconstructing a sharp version of a motion blurred image, i.e., image deblurring. The estimation of blur parameters can also be used in e-health services. Since medical images may be blurry, this method can be used to estimate the blur parameters and then take an action to enhance the image. In this paper, some methods are proposed for estimating the linear motion blur parameters based on the extraction of features from the given single blurred image. The motion blur direction is estimated using the Radon transform of the spectrum of the blurred image. To estimate the motion blur length, the relation between a blur metric, called NIDCT (Noise-Immune Discrete Cosine Transform-based), and the motion blur length is applied. Experiments performed in this study showed that the NIDCT blur metric and the blur length have a monotonic relation. Indeed, an increase in blur length leads to increase in the blurriness value estimated via the NIDCT blur metric. This relation is applied to estimate the motion blur. The efficiency of the proposed method is demonstrated by performing some quantitative and qualitative experiments.

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