National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Sensor Pattern Noise Analysis and Identification
Král, Benjamin ; Trchalík, Roman (referee) ; Očenášek, Pavel (advisor)
This work is about extraction of sensor pattern noise of digital camera which is additive noise that is present in every digital photograph and which is unique for every camera. Suitable sensor pattern noise extraction methods are discussed for noise extraction and comparation with aim to find out with which camera the digital picture was taken. Best method is implemented as an application. The work describes few experiments that are reviewing the application performance based on many different photographs given to the application.
Retouch of contemporary journalistic photograph
Raszková, Ivona ; Fišerová, Michaela (advisor) ; Svoboda, Aleš (referee)
In my master thesis I deal with a retouch of contemporary journalistic photography (in the period from 90's to the present). Thus they are digital photographs, which I compare with analogue photography. Retouch of analogue photography was technically more exacting than retouch of digital photography and people couldn't imagine the way of editing photography therefore they trusted to it. I assume that the truth pretension was preserved in the case of journalistic photography. My hypothesis is that the media play upon the truth pretension of the journalistic photography. The photography should have represented the reality. But nowadays we already know that it is not have to be like that. Nevertheless detection of edited photographs evokes a scandal, a shock and a discussion. The media retouch photographs and thereby actually modify the reality. The whole my hypothesis is: The media play upon the truth pretension of the journalistic photography which they edit with use of retouch technique thereby they modify the reality and it evokes a scandal after revealing the edited photography.
Sensor Pattern Noise Analysis and Identification
Král, Benjamin ; Trchalík, Roman (referee) ; Očenášek, Pavel (advisor)
This work is about extraction of sensor pattern noise of digital camera which is additive noise that is present in every digital photograph and which is unique for every camera. Suitable sensor pattern noise extraction methods are discussed for noise extraction and comparation with aim to find out with which camera the digital picture was taken. Best method is implemented as an application. The work describes few experiments that are reviewing the application performance based on many different photographs given to the application.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.