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Python Gamut Library

Authors: Voigt, Jakob Michael; Niebuhr, Lars Michael; Behenam, Nawar Maher; Lahafdoozian, Sahand;

Python Gamut Library

Abstract

Colour er et programmeringsbibliotek utviklet av prosjektets oppdragsgiver Ivar Farp. Bibliotekets formål er å forenkle forskning innen fargevitenskap og fargebildeteknologi, ved å tilby et enkelt API å jobbe med. Biblioteket har funksjonalitet for håndtering av fargemålinger og fargeromstransformasjoner. Oppdragsgiver ønsket å utvidde bibliotekt med funksjonalitet for håndtering av ICCprofiler, fargegamuter og utvikling av gamut mapping algoritmer. Hovedoppgaven vår har vært å utvikle en ny klasse for biblioteket som håndterer gamutrelatert arbeid. Klassen kan beregne gamuters overflater ved å benytte én av to utvalgte metoder. Gamutene kan visualiseres i brukerdefinere aksesystemer. Den største delen har vært å utvikle metoder for grunnoperasjoner som inngår i gamut mapping algoritmer. Vi har også implementert to slike algoritmer, HpminDE og minDE, ved å bruke klassens grunnoperasjoner. Ved å lese denne oppgaven får du innblikk i utviklingsprosessen, en teoretisk innføring i fagområdet avgrenset til hva som er relevant for vår utvikling, samt detaljerte forklaringer av algoritmene som benyttes. Biblioteket er tilgjengelig på github.

Keywords

IE, NTNU, Thesis, Bachelor, Latex, IMT, Color space, Fargebehandling, Color management, Algoritmer, Gamut, Algorithms, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green