Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture
In order to reduce the intra coding complexity of HEVC, a fast block partitioning algorithm based on spatial correlation and image texture was proposed. Firstly, a concept of most possible depth range（MPDR）was proposed according to the correlation analysis of adjacent CTU depth range. Secondly, the...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2015-01-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015006/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529562043777024 |
|---|---|
| author | Yingbiao Yao Xiaojuan Li |
| author_facet | Yingbiao Yao Xiaojuan Li |
| author_sort | Yingbiao Yao |
| collection | DOAJ |
| description | In order to reduce the intra coding complexity of HEVC, a fast block partitioning algorithm based on spatial correlation and image texture was proposed. Firstly, a concept of most possible depth range（MPDR）was proposed according to the correlation analysis of adjacent CTU depth range. Secondly, the difference between the current CTU texture and neighboring CTU texture was analyzed by detecting the dominant edge direction. According to the texture difference, the depth range of the current CTU was chose from MPDR and the origin range 0～3. Finally, a formula for texture complex threshold was formed by statistical calculation. Before CU coding, detect the texture complexity of the current CU by comparing the pixel variance and threshold, determine whether or not to skip the current unit coding calculation. Compared with HM13.0, experimental results reveal that the proposed algorithm can save about 20% computational complexity on average whereas the average bit rate increment is 0.84% and the decrement of PSNR is 0.04 dB. |
| format | Article |
| id | doaj-art-c507bede2f6e4d9f836f82e14a5afcbf |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-c507bede2f6e4d9f836f82e14a5afcbf2025-01-15T03:17:33ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-01-0131324059616125Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image TextureYingbiao YaoXiaojuan LiIn order to reduce the intra coding complexity of HEVC, a fast block partitioning algorithm based on spatial correlation and image texture was proposed. Firstly, a concept of most possible depth range（MPDR）was proposed according to the correlation analysis of adjacent CTU depth range. Secondly, the difference between the current CTU texture and neighboring CTU texture was analyzed by detecting the dominant edge direction. According to the texture difference, the depth range of the current CTU was chose from MPDR and the origin range 0～3. Finally, a formula for texture complex threshold was formed by statistical calculation. Before CU coding, detect the texture complexity of the current CU by comparing the pixel variance and threshold, determine whether or not to skip the current unit coding calculation. Compared with HM13.0, experimental results reveal that the proposed algorithm can save about 20% computational complexity on average whereas the average bit rate increment is 0.84% and the decrement of PSNR is 0.04 dB.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015006/high efficiency video codingfast block partitioningspatial correlationmost possible depth rangetexture differencetexture complexity |
| spellingShingle | Yingbiao Yao Xiaojuan Li Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture Dianxin kexue high efficiency video coding fast block partitioning spatial correlation most possible depth range texture difference texture complexity |
| title | Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture |
| title_full | Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture |
| title_fullStr | Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture |
| title_full_unstemmed | Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture |
| title_short | Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture |
| title_sort | fast block partitioning algorithm for hevc based on spatial correlation and image texture |
| topic | high efficiency video coding fast block partitioning spatial correlation most possible depth range texture difference texture complexity |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015006/ |
| work_keys_str_mv | AT yingbiaoyao fastblockpartitioningalgorithmforhevcbasedonspatialcorrelationandimagetexture AT xiaojuanli fastblockpartitioningalgorithmforhevcbasedonspatialcorrelationandimagetexture |