Image noise is unwanted information in an image and can occur at any moment of time such as during image capture, transmission, or processing and it may or may not depend on image content. In order to remove the noise from the noisy image, prior knowledge about the nature of noise must be known otherwise noise removal causes the image blurring. Identifying nature of noise is a challenging problem. Many researchers have proposed their ideas on image noise identification and each of the work has its assumptions, advantages and limitations. In this paper, we proposed a new methodology based on neural network for identifying the different types of noise such as Non Gaussian, Gaussian white, Salt and Pepper and Speckle noise.
Uploaded by ideseditor on 01/16/2013
Digital publication details: 4 pages.
Master Thesis for MSc Food and Resource Economics Submitted at ILR University of Bonn Germany
Uploaded by khalilarbi on 07/26/2009
Digital publication details: 107 pages.
Abstract: The normality assumption behind ANOVA and other parametric methods implies not only mound shape, symmetry, and zero excess kurtosis, but also that data are equidistant. This paper uses a simulation approach to explore the impact of non-equidista nce on the performance of statistical methods commonly used to compare locations across several groups. These include the one-way ANOVA and its robust alternatives, the Brown-Forsythe test, and the Welch test. We show that non-equidistance does affect the se methods with respect to both significance level and power, but the impact differs between the methods. In general, the ANOVA is less sensitive to non-equidistance than the other two methods are and should therefore be the primary choice when analyzing potentially non-equidistant data.
Uploaded by academic-conferences.org on 11/02/2014
Digital publication details: 11 pages.
Prognostic is a rapidly developing field and seeks to build on current diagnostic equipment capabilities for predicting the system state in advance. In machine condition prognostics, the current and past observations are used to predict the upcoming states of the machine. Signal-de-noising and extraction of the weak acoustic signature are crucial to gearbox prognostics since the inherent deficiency of the measuring mechanism often introduces a great amount of noise to the signal. In addition, the signature of a defective gearbox is spread across a wide frequency band and hence can easily become masked by noise and low frequency effects. As a result, robust concepts are needed to provide more evident information for gearbox performance assessment and prognostics.
Uploaded by christinadianparmionova on 10/17/2012
Digital publication details: 13 pages.
Why standard models and measures fail to give investors a true indication of investing's hazards.
Uploaded by mirc on 11/08/2009
Digital publication details: 20 pages.
Read about econometrics
Uploaded by agrons on 10/07/2011
Digital publication details: 126 pages.
Powerpoint slides of Chap 4a of the Applied Statistics in Business and Economics
Uploaded by schoolstuff on 09/23/2008
Digital publication details: 61 pages.
Capítulo 7 del libro Water Resources Systems Planning and Management, del Prof. Daniel Loucks.
Uploaded by jhidalgo54 on 08/03/2009
Digital publication details: 62 pages.
Uploaded by kshaatri on 11/21/2012
Digital publication details: 303 pages.
The Strojniški vestnik – Journal of Mechanical Engineering publishes theoretical and practice oriented papaers, dealing with problems of modern technology (power and process engineering, structural and machine design, production engineering mechanism and materials, etc.) It considers activities such as: design, construction, operation, environmental protection, etc. in the field of mechanical engineering and other related branches.
Uploaded by sv-jme on 09/25/2011
Digital publication details: 92 pages.