Fast sample adaptive offset encoding algorithm for HEVC based on intra prediction mode

Joo, Jaehwan; Choi, Yong-Seok; Lee, Kyohyuk

doi:10.1109/icce-berlin.2013.6698011

Cited by 18 publications

(10 citation statements)

References 3 publications

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“…Based on the observation that the EO is likely to reduce the distortion by flattening fluctuation between consecutive reconstruction samples, the selection of EO candidate as the closest direction to the intra prediction's result has been proposed in [4]. Test 4 and 5 show that the intra direction-based estimation is as effective as static selection methods in terms of the processing time with much higher coding efficiency, which is enabled by the reuse of intra prediction results with almost no additional computation since CTU-level decision of prediction types, e.g.…”

Section: B Estimation With Fewer Sao Type Candidatesmentioning

confidence: 99%

“…Although the SAO encoding is known to incur relatively low computational demand compared to other coding tools, real-time or power-hungry video encoders still require more efficient SAO encoding algorithms in terms of computational complexity, power consumption or friendliness to the pipelining as well as the coding efficiency. To resolve these issues, some studies focused on improvement of the encoding from a practical point of view [4] [5], and others concerned about the filtering process including integration with the deblocking [6].…”

Section: Introductionmentioning

confidence: 99%

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Exploration of Practical HEVC/H.265 Sample Adaptive Offset Encoding Policies

Choi

Joo

2015

IEEE Signal Process. Lett.

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A new in-loop filter, sample adaptive offset (SAO) allows the latest video compression standard, HEVC or H.265, to achieve higher coding efficiency both in objective and subjective measures. However, it requires additional operations to estimate the best SAO parameters per coding tree unit (CTU) during the video encoding process, which often leads to many practical issues such as high computational complexity or architectural inefficiency that might not be affordable for low power or real-time video encoders. In this paper, we explore various SAO encoding policies including complexity reduction in the SAO parameter estimation and efforts to remove inefficiency caused by its implementation in a pipelined manner through numerous experimental tests. Index Terms-H.265, high efficiency video coding (HEVC), in-loop filter, sample adaptive offset (SAO), video compression.1070-9908

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Section: B Estimation With Fewer Sao Type Candidatesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploration of Practical HEVC/H.265 Sample Adaptive Offset Encoding Policies

Choi

Joo

2015

IEEE Signal Process. Lett.

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“…However, in order to find the best SAO parameters (SAO mode, type and offsets) by searching all possible combinations exhaustively, it is heavy computational burden to the encoder. For this reason, several works have been proposed to reduce the computational complexity in SAO parameter estimation [2][3][4]. J. Joo [2] proposed the fast SAO parameter estimation algorithm by exploiting the correlation between intra prediction mode and edge offset type.…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, several works have been proposed to reduce the computational complexity in SAO parameter estimation [2][3][4]. J. Joo [2] proposed the fast SAO parameter estimation algorithm by exploiting the correlation between intra prediction mode and edge offset type. S. E. Gendy [3] proposed the fast estimation method by reutilization of pre-determined SAO parameters in the previous frames.…”

Section: Introductionmentioning

confidence: 99%

Block Edge Detection based Fast Sample Adaptive Offset Parameter Estimation for HEVC Encoder

Kim¹,

Jeong²,

Kim³

2016

Advanced Science and Technology Letters

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In this paper, we propose a fast sample adaptive offset (SAO) parameter estimation algorithm based on the block-based edge detection in High Efficiency Video Coding (HEVC) encoder. Instead of the exhaustive search to find the best SAO parameters among all massive combinations, the proposed algorithm decides the best edge offset by analyzing the input block's edge characteristics in advance. From the experimental results, the proposed algorithm achieves 61.21% time-saving with 1.09% BD-rate increase on average, compared to HEVC reference software HM 16.9.

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“…Many researchers have proposed improved methods to reduce run-time of SAO module. Joo, et al and Rhee, et al [1] [2] proposed faster algorithms to reduce calculation time of SAO by avoiding the statistics-based method, nevertheless, resulting in a compromise with accuracy. Some researchers went further in improving efficiency by introducing parallelization technology into SAO processing [3] [4], but all concentrated on SAO in decoder.…”

Section: Introductionmentioning

confidence: 99%

CuSAO: Parallel Optimization of Sample Adaptive Offset (SAO) for Video Encoder

Ji¹,

Zhu²,

Lin³

et al. 2017

dtcse

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Abstract. Conventional SAO module in encoder decides classification mode and offsets based on the statistical data of pixels for accuracy. It needs to traverse all pixels several times, which is extremely time-consuming. All improving works for efficiency either reduce statistical data or concentrate only on SAO decoder. To tackle this, a fast parallel algorithm for standard SAO in encoder named CuSAO based on Graphics Processing Unit (GPU) is proposed. We proposed a pixel grid -thread mapping method and adopted parallel computing of multi-granularity in different stages of SAO encoder. Experimental results demonstrate our method outperforms state-of-the-arts modules and shows impressive results in terms of efficiency, reaching a significant time saving by average 75% and up to more than 85%.

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Fast sample adaptive offset encoding algorithm for HEVC based on intra prediction mode

Cited by 18 publications

References 3 publications

Exploration of Practical HEVC/H.265 Sample Adaptive Offset Encoding Policies

Exploration of Practical HEVC/H.265 Sample Adaptive Offset Encoding Policies

Block Edge Detection based Fast Sample Adaptive Offset Parameter Estimation for HEVC Encoder

CuSAO: Parallel Optimization of Sample Adaptive Offset (SAO) for Video Encoder

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