Temporal distortion costs for sample adaptive offset in H.265/HEVC

Yao Jen Chang, Pei Hsuan Tsai, Chun Lung Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a novel temporal distortion cost (TDC) for sample adaptive offset (SAO) filter in High Efficiency Video Coding. The TDC addresses the images with temporal distortion by evaluating the errors between pre/post-SAO samples and raw samples in continuous frames. Due to high computational complexity of TDC, we further propose a low-complexity TDC (L-TDC) to estimate the value of TDC by a difference classification scheme and a rate-distortion decision scheme. We also contribute to deriving a spatio-temporal distortion cost (STDC) and a low-complexity STDC (L-STDC) by incorporating a spatial distortion cost into the proposed TDCs. Simulation results show that, compared to the classical SAO filter, the proposed SAO filters can save up to around 10% ∼ 15% bitrates under the same flicker measure, and achieve better flicker measure with over 10% improvement in average under the same bitrate. Some valuable threshold analyses are also provided.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PublisherIEEE Computer Society
Pages4225-4229
Number of pages5
ISBN (Electronic)9781467399616
DOIs
Publication statusPublished - 2016 Aug 3
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: 2016 Sep 252016 Sep 28

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2016-August
ISSN (Print)1522-4880

Other

Other23rd IEEE International Conference on Image Processing, ICIP 2016
CountryUnited States
CityPhoenix
Period16-09-2516-09-28

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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