dc.contributor.author | Lee, Hyeon-ki | en_US |
dc.contributor.author | Nah, Jae-Ho | en_US |
dc.contributor.editor | Chaine, Raphaëlle | en_US |
dc.contributor.editor | Deng, Zhigang | en_US |
dc.contributor.editor | Kim, Min H. | en_US |
dc.date.accessioned | 2023-10-09T07:36:45Z | |
dc.date.available | 2023-10-09T07:36:45Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1467-8659 | |
dc.identifier.uri | https://doi.org/10.1111/cgf.14969 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf14969 | |
dc.description.abstract | This 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.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
dc.subject | CCS Concepts: Computing methodologies -> Image compression | |
dc.subject | Computing methodologies | |
dc.subject | Image compression | |
dc.title | H-ETC2: Design of a CPU-GPU Hybrid ETC2 Encoder | en_US |
dc.description.seriesinformation | Computer Graphics Forum | |
dc.description.sectionheaders | Images, Vectorization, and Layouts | |
dc.description.volume | 42 | |
dc.description.number | 7 | |
dc.identifier.doi | 10.1111/cgf.14969 | |
dc.identifier.pages | 11 pages | |