Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction
The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/16/5977 |
| _version_ | 1827598501613142016 |
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| author | Dan Luo Shuhua Xiong Chao Ren Raymond Edward Sheriff Xiaohai He |
| author_facet | Dan Luo Shuhua Xiong Chao Ren Raymond Edward Sheriff Xiaohai He |
| author_sort | Dan Luo |
| collection | DOAJ |
| description | The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and improve their performance. Hence, to further enhance the intra compression performance of VVC, we propose a fusion-based intra prediction algorithm in this paper. Specifically, to better predict areas with similar texture information, we propose a fusion-based adaptive template matching method, which directly takes the error between reference and objective templates into account. Furthermore, to better utilize the correlation between reference pixels and the pixels to be predicted, we propose a fusion-based linear prediction method, which can compensate for the deficiency of single linear prediction. We implemented our algorithm on top of the VVC Test Model (VTM) 9.1. When compared with the VVC, our proposed fusion-based algorithm saves a bitrate of 0.89%, 0.84%, and 0.90% on average for the Y, Cb, and Cr components, respectively. In addition, when compared with some other existing works, our algorithm showed superior performance in bitrate savings. |
| first_indexed | 2024-03-09T03:52:51Z |
| format | Article |
| id | doaj.art-cbfe1c154be242d899d7c907a5acac1e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:52:51Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cbfe1c154be242d899d7c907a5acac1e2023-12-03T14:25:25ZengMDPI AGSensors1424-82202022-08-012216597710.3390/s22165977Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear PredictionDan Luo0Shuhua Xiong1Chao Ren2Raymond Edward Sheriff3Xiaohai He4College of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaDepartment of Computer Science, Edge Hill University, Ormskirk L39 4QP, UKCollege of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaThe new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and improve their performance. Hence, to further enhance the intra compression performance of VVC, we propose a fusion-based intra prediction algorithm in this paper. Specifically, to better predict areas with similar texture information, we propose a fusion-based adaptive template matching method, which directly takes the error between reference and objective templates into account. Furthermore, to better utilize the correlation between reference pixels and the pixels to be predicted, we propose a fusion-based linear prediction method, which can compensate for the deficiency of single linear prediction. We implemented our algorithm on top of the VVC Test Model (VTM) 9.1. When compared with the VVC, our proposed fusion-based algorithm saves a bitrate of 0.89%, 0.84%, and 0.90% on average for the Y, Cb, and Cr components, respectively. In addition, when compared with some other existing works, our algorithm showed superior performance in bitrate savings.https://www.mdpi.com/1424-8220/22/16/5977Versatile Video Codingintra predictiontemplate matchinglinear prediction |
| spellingShingle | Dan Luo Shuhua Xiong Chao Ren Raymond Edward Sheriff Xiaohai He Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction Sensors Versatile Video Coding intra prediction template matching linear prediction |
| title | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
| title_full | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
| title_fullStr | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
| title_full_unstemmed | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
| title_short | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
| title_sort | fusion based versatile video coding intra prediction algorithm with template matching and linear prediction |
| topic | Versatile Video Coding intra prediction template matching linear prediction |
| url | https://www.mdpi.com/1424-8220/22/16/5977 |
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