Real-Time Adaptive Scalable Texture Compression for the Web

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/234933
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Type: Examensarbete för masterexamen
Master Thesis
Title: Real-Time Adaptive Scalable Texture Compression for the Web
Authors: Oom, Daniel
Abstract: 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.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/234933
Collection:Examensarbeten för masterexamen // Master Theses



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