Abstract
This paper proposes a highly efficient sample adaptive offset (SAO) mode decision algorithm. By leveraging both the directional correlations between the SAO and intra-prediction decisions, and the SAO decisions' spatial correlations, the SAO mode candidates are effectively pruned during the rate-distortion optimization process, accelerating the SAO encoding process with negligible BD-rate loss.
| Original language | English |
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| Title of host publication | Proceedings : 2025 Data Compression Conference |
| Editors | Ali BILGIN, James E. FOWLER, Jaan SERRA-SAGRISTA, Yan YE, James A. STORER |
| Publisher | IEEE |
| Pages | 407-407 |
| ISBN (Electronic) | 9798331534714 |
| DOIs | |
| Publication status | Published - 20 May 2025 |
| Event | 2025 Data Compression Conference (DCC) - Snowbird, UT, USA Duration: 18 Mar 2025 → 21 Mar 2025 |
Publication series
| Name | Data Compression Conference Proceedings |
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| ISSN (Print) | 1068-0314 |
Conference
| Conference | 2025 Data Compression Conference (DCC) |
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| Period | 18/03/25 → 21/03/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Funding
This work was supported in part by the National Key R&D Program of China (2021YFF0900500), the National Natural Science Foundation of China (NSFC) under grants U22B2035 and 62272128.