Real-Time Adaptive Scalable Texture Compression for the Web

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dc.contributor.authorOom, Daniel
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:52:53Z
dc.date.available2019-07-03T13:52:53Z
dc.date.issued2016
dc.description.abstractThis 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.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/234933
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleReal-Time Adaptive Scalable Texture Compression for the Web
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc

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