scholarly journals Image Restoration Theory: Analysis of Polish Deputy Prime Minister’s Tweets in Response to Postponed Polish Presidential Election in 2020

Author(s):  
Joanna Kurnal
KRITIS ◽  
2018 ◽  
Vol 25 (1) ◽  
pp. 10-26
Author(s):  
Budi Sulistiyo ◽  
Sri Suwartiningsih

The term novice voters are regarded toHigh School Students, College Students, or worker who is between 17 to 21 years old and never been participate or vote in the election. This definition is hand in hand with the law number 10 - 2008, regarding genera election that define the minimum or condition of the voter (article 19:1). Novice voters are characterized as educated, critical, independent, fashionable, adaptable, and like to learn new things. Before the Indonesia Presidential Election in 2014, the media were intensively relay informations on the president and vice president candidates. The media have important part indelivering information and knowledge for the citizens about the election. Newspaper, magazines, radio and television are believed to be the most vital part in the politic democracy system.The  study used the Kultivation Theory Analysis, which focus on how the influence of media to the citizens through the news that were broadcasted in the television continuously. This is a descriptive qualitative study which means to describe the role of media especially television that affect the perspective and the novice voters’ attitude toward 2014 the presidential election. The result of this study showed that the role of television staton, especially the Metro TV and TV One were  vital, because novice voters whit their limited knowledge about election, gain informations through those Metro TV and TV One to gain knowledge and information about the 2014 presidential election. As the result, the media is capable to affect the novice voters’ point of view to actively participate as voters in the 2014 presidential election.


Author(s):  
W.A. Carrington ◽  
F.S. Fay ◽  
K.E. Fogarty ◽  
L. Lifshitz

Advances in digital imaging microscopy and in the synthesis of fluorescent dyes allow the determination of 3D distribution of specific proteins, ions, GNA or DNA in single living cells. Effective use of this technology requires a combination of optical and computer hardware and software for image restoration, feature extraction and computer graphics.The digital imaging microscope consists of a conventional epifluorescence microscope with computer controlled focus, excitation and emission wavelength and duration of excitation. Images are recorded with a cooled (-80°C) CCD. 3D images are obtained as a series of optical sections at .25 - .5 μm intervals.A conventional microscope has substantial blurring along its optical axis. Out of focus contributions to a single optical section cause low contrast and flare; details are poorly resolved along the optical axis. We have developed new computer algorithms for reversing these distortions. These image restoration techniques and scanning confocal microscopes yield significantly better images; the results from the two are comparable.


Author(s):  
Richard B. Mott ◽  
John J. Friel ◽  
Charles G. Waldman

X-rays are emitted from a relatively large volume in bulk samples, limiting the smallest features which are visible in X-ray maps. Beam spreading also hampers attempts to make geometric measurements of features based on their boundaries in X-ray maps. This has prompted recent interest in using low voltages, and consequently mapping L or M lines, in order to minimize the blurring of the maps.An alternative strategy draws on the extensive work in image restoration (deblurring) developed in space science and astronomy since the 1960s. A recent example is the restoration of images from the Hubble Space Telescope prior to its new optics. Extensive literature exists on the theory of image restoration. The simplest case and its correspondence with X-ray mapping parameters is shown in Figures 1 and 2.Using pixels much smaller than the X-ray volume, a small object of differing composition from the matrix generates a broad, low response. This shape corresponds to the point spread function (PSF). The observed X-ray map can be modeled as an “ideal” map, with an X-ray volume of zero, convolved with the PSF. Figure 2a shows the 1-dimensional case of a line profile across a thin layer. Figure 2b shows an idealized noise-free profile which is then convolved with the PSF to give the blurred profile of Figure 2c.


Author(s):  
Richard Johnston ◽  
Michael G. Hagen ◽  
Kathleen Hall Jamieson

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