Quality Assessment of Post-Processed Images
Typ dokumentu
disertační práceAutor
Krasula, Lukáš
Vedoucí práce
Klíma, Miloš
Le Callet, Patrick
Fliegel, Karel
Studijní obor
RadioelektronikaStudijní program
Elektrotechnika a informatikaInstituce přidělující hodnost
České vysoké učení technické v Praze. Fakulta elektrotechnická. Katedra radioelektronikyMetadata
Zobrazit celý záznamAbstrakt
The vast majority of the work done in the field of quality assessment
during last two decades has been dedicated to the quantification of
the distortion caused by the processing of an image. The original
image was, therefore, always considered to be of the best possible
quality. In this kind of scenario, the notion of quality can be
expressed as the fidelity of the processed version to the reference.
However, some post-processing algorithms enable to adjust
aesthetic properties of an image in order to enhance the perceived
quality. In such cases, the best possible quality image is not
available and the classical fidelity approach is no longer applicable.
The goal of this thesis is to revise the quality assessment
methodologies to cope with the challenges brought by the
post-processing into the quality evaluation. The post-processing
algorithms, relevant to the topic of this thesis, come from two groups
– image enhancement, represented by image sharpening, and
dynamic range compression (also known as tone-mapping)
techniques. Both subjective and objective quality assessment
methodologies applicable in these areas are studied and the
suitable solutions, outperforming the state-of-the-art methods, are
proposed. Moreover, a novel methodology for evaluating the
performance of objective quality metrics, overcoming the
shortcomings of the currently available methods, is presented.
Kolekce
- Disertační práce - 13000 [713]
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