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dc.contributor.authorLee, Hyeon-kien_US
dc.contributor.authorNah, Jae-Hoen_US
dc.contributor.editorChaine, Raphaëlleen_US
dc.contributor.editorDeng, Zhigangen_US
dc.contributor.editorKim, Min H.en_US
dc.date.accessioned2023-10-09T07:36:45Z
dc.date.available2023-10-09T07:36:45Z
dc.date.issued2023
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14969
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14969
dc.description.abstractThis paper proposes a novel CPU-GPU hybrid encoding method based on the ETC2 format, commonly used on mobile platforms. Traditional texture compression techniques often face a trade-off between encoding speed and quality. For a better trade-off, our approach utilizes both the CPU and GPU. In a pipeline we designed, the CPU encoder identifies problematic pixel blocks during the encoding process, and the GPU encoder re-encodes them. Additionally, we carefully improve the base CPU and GPU encoders regarding encoding speed and quality. As a result, our encoder minimizes compression artifacts, increases encoding speed, or achieves both of these goals compared to previous high-quality offline ETC2 encoders.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies -> Image compression
dc.subjectComputing methodologies
dc.subjectImage compression
dc.titleH-ETC2: Design of a CPU-GPU Hybrid ETC2 Encoderen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersImages, Vectorization, and Layouts
dc.description.volume42
dc.description.number7
dc.identifier.doi10.1111/cgf.14969
dc.identifier.pages11 pages


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  • 42-Issue 7
    Pacific Graphics 2023 - Symposium Proceedings

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