Uppsats
AI-STÖDD KOMPOSITIONSOPTIMERING : En studie om hur artificiell intelligens kan användas för optimering av bildkomposition
Kandidat-uppsats
Umeå universitet/Institutionen för informatik
Publicerad: 2022
Språk: Svenska
Nyckelord
klicka för att sökaSammanfattning
This study aims to explore and further the knowledge of the topic of composition optimization. The essay aims to examine how a prominent AI called Luminar AI handles composition optimization of images of different kinds in comparison with some of the most common compositional techniques used today. Through this study ten different images were compiled, varying in content and light conditions, to have their compositions be optimized by an AI. A manual variation of the images was also created to serve as a theoretically based foundation for comparison of the compositions. From these different compositions an online form was conducted to gather data about how observers experienced images with different compositions and how they generally felt about them. Four professional photographers were also interviewed, verging in experience and area of expertise. From this data, conclusions regarding how well the AI’s results compared with the manual optimisation of the images was found. Information on, in what regard this type of technology could work today and how well it would be accepted in the field of photography was also debated.
Information
- Författare
- Kanon Lundin, Grim, Gulin, Nicholas
- Lärosäte / institution
- Umeå universitet/Institutionen för informatik
- Publiceringsdatum
- 2022
- Uppsatstyp
- Kandidat-uppsats
- Språk
- Svenska
Utforska vidare
Liknande uppsatser
Uppsatser med liknande ämnen och nyckelord.
Kandidat-uppsats, Umeå universitet/Institutionen för informatik
Kenttä, Alva, Edlund, Christoffer
Publicerad: 2026
Kandidat-uppsats, Malmö universitet/Institutionen för globala politiska studier (GPS)
Brömel, Lilly Marie
Publicerad: 2026
Kandidat-uppsats, Jönköping University/Tekniska Högskolan
Rönnqvist, Emilia, Skoogh, Lovisa
Publicerad: 2026
Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)
Lukac, Bojana, Blücher Suneson, Ronja
Publicerad: 2026
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi
Carlsson, Noa
Publicerad: 2026
Kandidat-uppsats, Linnéuniversitetet/Institutionen för management (MAN)
Andersson, Truls, Axling, Philip, Norrbom, Melker
Publicerad: 2026