Dominant edge direction based fast parameter estimation algorithm for sample adaptive offset in HEVC

Joo, Jaehwan; Choi, Yong-Seok

doi:10.1109/icip.2014.7025761

Cited by 14 publications

(15 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…intra, inter, is required even in inter-prediction type slices. The other work has introduced a selection scheme based on a major edge direction of source samples with the same motivation [5].…”

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%

See 1 more Smart Citation

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

Choi

Joo

2015

IEEE Signal Process. Lett.

Self Cite

View full text Add to dashboard Cite

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

show abstract

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.

Self Cite

View full text Add to dashboard Cite

show abstract

“…It can corrupt effortlessly under system over-burden or on a moderate stage. J.Joo [13], in this we present the quick parameter estimation calculation for test versatile counterbalance in high effectiveness video coding. The primary thought of a proposed strategy is to rearrange choice of the best SAO edge balance class dependent on the overwhelming edge course data as opposed to looking through all EO classes comprehensively.…”

Section: Introductionmentioning

confidence: 99%

Design of High-Speed H.265 Sample Adaptive Offset Estimation for Ultra-Hd TV Encoding using Clock Synchronization Code

Shiyamala¹,

Rani²

2019

IJRTE

View full text Add to dashboard Cite

Sample adaptive offset (SAO) is a recently presented in-circle separating segment in H.265/High Efficiency Video Coding (HEVC). SAO adds to a striking coding effectiveness enhancement; the estimation of SAO parameters commands the multifaceted nature of in-circle sifting in HEVC encoding. Double clock engineering that procedures statistics collection (SC) and parameter decision (PD), the two principle useful squares of SAO estimation, at high-and low-speed timekeepers, separately. Such a technique decreases the general zone by 56% by tending to the heterogeneous information streams of SC and PD. This exploration work endeavors to ad lib the working clock speed by adjusting a double clock synchronizer VLSI structure of H.265 ultra HD encoder and control minimization. To additionally enhance the territory and power productivity, calculation engineering co-improvements are connected, including a coarse range selection (CRS) and an accumulator bit width reduction (ABR). They together may accomplish another 25% territory decrease. The proposed VLSI configuration is fit for handling 8k at 120-outlines/s encoding

show abstract

“…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%

“…S. E. Gendy [3] proposed the fast estimation method by reutilization of pre-determined SAO parameters in the previous frames. In [4], the best SAO edge offset is easily decided by using the Sobel edge operation in prior to SAO encoding process so that the computational complexity is successfully reduced with acceptable bitrate degradation. However, the complexity of the last algorithm [4] is still high due to the calculation of Sobel operation at every single pixel and the inaccurate edge derivation in the heavy noise image is another limitation.…”

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

View full text Add to dashboard Cite

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.

show abstract

Dominant edge direction based fast parameter estimation algorithm for sample adaptive offset in HEVC

Cited by 14 publications

References 2 publications

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

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

Design of High-Speed H.265 Sample Adaptive Offset Estimation for Ultra-Hd TV Encoding using Clock Synchronization Code

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

Contact Info

Product

Resources

About