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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A New Fast Algorithm for Sample Adaptive Offset
verfasst von : Chentian Sun, Yang Wang, Xiaopeng Fan, Debin Zhao
Erschienen in: Advances in Multimedia Information Processing – PCM 2017
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Abstract
Sample Adaptive Offset is a new adopted technology by HEVC in recent years, which improves the visual quality of reconstructed videos significantly. However, there are two problems in current SAO technology. The first is that the statistic phase needs to traverse each pixel to collect relevant information. The other problem is that the complexity of SAO is too high for SAO mode decision stage, which needs to be performed on each CTU. To solve these problems, we proposed a fast SAO algorithm in HEVC encoder. We explore the correlation of SAO type among neighboring CTUs, and then utilize this spatial information to reduce the complexity of SAO. Experimental results demonstrate that our proposed method can achieve about 62%, 80% and 75% SAO encoding time saving on average in AI, RA, and LDB test condition compared with HM16.0 respectively. At the same time, the proposed method just causes negligible compression performance loss.