Warianty tytułu
Języki publikacji
Abstrakty
W artykule zaprezentowane i przetestowane zostały techniki oceny spadku jakości obrazów spowodowanego przez algorytmy demosaicingu. Pod uwagę wzięto trzy metryki: CIE76, S-CIELAB oraz HDR-VDP służące do automatycznego szacowania różnic w wyglądzie pomiędzy obrazem wzorcowym a obrazem po demosaicingu. Najlepsze wyniki uzyskano dla metryki HDR-VDP, która generuje rezultaty spójne z percepcyjnym widzeniem zniekształceń przez człowieka. Metryka HDR-VDP może być z powodzeniem stosowana do oceny jakości algorytmów demosaicingu.
Most of the modern digital cameras capture color images based on the CFA (Color Filter Array) pattern. Each point of the sensor matrix acquires one of the R,G, or B values. The demosaicing algorithms convert mosaic consisted of these points to a standard digital image representation with three RGB values for each color channel. The quality of the demosaicing algorithms is measured as a level of deformation in an image after demosaicing comparing to original appearance of a scene. In particular, unfavorable are artifacts that are well seen by a man, like object blurring or color halos. In the paper the metrics of difference between a scene and an image of a scene after demosaicing are analyzed. We test the following difference metrics: CIE76 (E ab), S-CIELAB, and HDR-VDP and suggest the one which is the most suitable for estimation of demosaicing algorithms fidelity.
Czasopismo
Rocznik
Tom
Strony
113-123
Opis fizyczny
Bibliogr. 24 poz., rys.
Twórcy
autor
- Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0016-0091