Optimized Sample Adaptive Offset Filter in HEVC
The high-efficiency video coding (HEVC) standard incorporates sample adaptive offset (SAO) as an in-loop filtering technique to reduce distortion. The fundamental tenet of SAO is to classify every reconstructed pixel and then simply add the offset to each group of pixels. The previous existing techn...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/1144179 |
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| author | N. Archana R. Menaka P. T. Vasanth Raj G. Keerthivasan N. Kumar |
| author_facet | N. Archana R. Menaka P. T. Vasanth Raj G. Keerthivasan N. Kumar |
| author_sort | N. Archana |
| collection | DOAJ |
| description | The high-efficiency video coding (HEVC) standard incorporates sample adaptive offset (SAO) as an in-loop filtering technique to reduce distortion. The fundamental tenet of SAO is to classify every reconstructed pixel and then simply add the offset to each group of pixels. The previous existing technique employs 32 bands in band offset (BO) calculation to determine the proper offset value to minimize the distortion in the SAO estimate algorithm for statistics collection and parametric determination procedure. The suggested method will reduce the necessary band count by 16 bands. It does not alter how edge offset is determined in any way. It offers enough and efficient room for creating superior band group predictions and selections, as well as an ideal decrease in the implemented area. Thus, reducing the number of bands to 16 also decreases the amount of storage needed to hold each pixel’s information in binary files by up to 0.65%. |
| format | Article |
| id | doaj-art-8b9047222ad344c0ae1e7569b94fb848 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-8b9047222ad344c0ae1e7569b94fb8482025-02-03T06:13:05ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/1144179Optimized Sample Adaptive Offset Filter in HEVCN. Archana0R. Menaka1P. T. Vasanth Raj2G. Keerthivasan3N. Kumar4Department of Electronics and Communication EngineeringDepartment of Electronics and Communication EngineeringCenter for System DesignTata Consultancy ServicesJimma UniversityThe high-efficiency video coding (HEVC) standard incorporates sample adaptive offset (SAO) as an in-loop filtering technique to reduce distortion. The fundamental tenet of SAO is to classify every reconstructed pixel and then simply add the offset to each group of pixels. The previous existing technique employs 32 bands in band offset (BO) calculation to determine the proper offset value to minimize the distortion in the SAO estimate algorithm for statistics collection and parametric determination procedure. The suggested method will reduce the necessary band count by 16 bands. It does not alter how edge offset is determined in any way. It offers enough and efficient room for creating superior band group predictions and selections, as well as an ideal decrease in the implemented area. Thus, reducing the number of bands to 16 also decreases the amount of storage needed to hold each pixel’s information in binary files by up to 0.65%.http://dx.doi.org/10.1155/2022/1144179 |
| spellingShingle | N. Archana R. Menaka P. T. Vasanth Raj G. Keerthivasan N. Kumar Optimized Sample Adaptive Offset Filter in HEVC Advances in Multimedia |
| title | Optimized Sample Adaptive Offset Filter in HEVC |
| title_full | Optimized Sample Adaptive Offset Filter in HEVC |
| title_fullStr | Optimized Sample Adaptive Offset Filter in HEVC |
| title_full_unstemmed | Optimized Sample Adaptive Offset Filter in HEVC |
| title_short | Optimized Sample Adaptive Offset Filter in HEVC |
| title_sort | optimized sample adaptive offset filter in hevc |
| url | http://dx.doi.org/10.1155/2022/1144179 |
| work_keys_str_mv | AT narchana optimizedsampleadaptiveoffsetfilterinhevc AT rmenaka optimizedsampleadaptiveoffsetfilterinhevc AT ptvasanthraj optimizedsampleadaptiveoffsetfilterinhevc AT gkeerthivasan optimizedsampleadaptiveoffsetfilterinhevc AT nkumar optimizedsampleadaptiveoffsetfilterinhevc |