Real-Time Adaptive Scalable Texture Compression for the Web
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Typ
Examensarbete för masterexamen
Master Thesis
Master Thesis
Program
Computer science – algorithms, languages and logic (MPALG), MSc
Publicerad
2016
Författare
Oom, Daniel
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This thesis investigates using Adaptive Scalable Texture Compression in real-time to improve memory utilization in web browsers. A fast encoding method that uses heuristics and avoids the commonly used branch and bound method is presented. Performance benchmarks and quality comparisons against other commonly used encoders show that it is possible to compress textures with reasonable quality in real-time.
Beskrivning
Ämne/nyckelord
Data- och informationsvetenskap , Computer and Information Science