Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique
Absolute moment block truncated coding (AMBTC) is a lossy image compression technique aiming at low computational cost, and has been widely studied. Previous studies have investigated the performance improvement of AMBTC; however, they often over describe the details of image blocks during encoding,...
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| Format: | Article |
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/2/619 |
| _version_ | 1797413525381971968 |
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| author | Tung-Shou Chen Jie Wu Kai Sheng Chen Junying Yuan Wien Hong |
| author_facet | Tung-Shou Chen Jie Wu Kai Sheng Chen Junying Yuan Wien Hong |
| author_sort | Tung-Shou Chen |
| collection | DOAJ |
| description | Absolute moment block truncated coding (AMBTC) is a lossy image compression technique aiming at low computational cost, and has been widely studied. Previous studies have investigated the performance improvement of AMBTC; however, they often over describe the details of image blocks during encoding, causing an increase in bitrate. In this paper, we propose an efficient method to improve the compression performance by classifying image blocks into flat, smooth, and complex blocks according to their complexity. Flat blocks are encoded by their block means, while smooth blocks are encoded by a pair of adjusted quantized values and an index pointing to one of the <i>k</i> representative bitmaps. Complex blocks are encoded by three quantized values and a ternary map obtained by a clustering algorithm. Ternary indicators are used to specify the encoding cases. In our method, the details of most blocks can be retained without significantly increasing the bitrate. Experimental results show that, compared with prior works, the proposed method achieves higher image quality at a better compression ratio for all of the test images. |
| first_indexed | 2024-03-09T05:19:15Z |
| format | Article |
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| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T05:19:15Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-804a3db900354baab4eae161648ac57e2023-12-03T12:42:16ZengMDPI AGApplied Sciences2076-34172021-01-0111261910.3390/app11020619Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation TechniqueTung-Shou Chen0Jie Wu1Kai Sheng Chen2Junying Yuan3Wien Hong4Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung 404, TaiwanSchool of Electrical and Computer Engineering, Nanfang College of Sun Yat-Sen University, Guangzhou 510970, ChinaSchool of Electrical and Computer Engineering, Nanfang College of Sun Yat-Sen University, Guangzhou 510970, ChinaSchool of Electrical and Computer Engineering, Nanfang College of Sun Yat-Sen University, Guangzhou 510970, ChinaDepartment of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung 404, TaiwanAbsolute moment block truncated coding (AMBTC) is a lossy image compression technique aiming at low computational cost, and has been widely studied. Previous studies have investigated the performance improvement of AMBTC; however, they often over describe the details of image blocks during encoding, causing an increase in bitrate. In this paper, we propose an efficient method to improve the compression performance by classifying image blocks into flat, smooth, and complex blocks according to their complexity. Flat blocks are encoded by their block means, while smooth blocks are encoded by a pair of adjusted quantized values and an index pointing to one of the <i>k</i> representative bitmaps. Complex blocks are encoded by three quantized values and a ternary map obtained by a clustering algorithm. Ternary indicators are used to specify the encoding cases. In our method, the details of most blocks can be retained without significantly increasing the bitrate. Experimental results show that, compared with prior works, the proposed method achieves higher image quality at a better compression ratio for all of the test images.https://www.mdpi.com/2076-3417/11/2/619image compressionAMBTCternary representation<i>k</i>-means |
| spellingShingle | Tung-Shou Chen Jie Wu Kai Sheng Chen Junying Yuan Wien Hong Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique Applied Sciences image compression AMBTC ternary representation <i>k</i>-means |
| title | Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique |
| title_full | Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique |
| title_fullStr | Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique |
| title_full_unstemmed | Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique |
| title_short | Hybrid Encoding Scheme for AMBTC Compressed Images Using Ternary Representation Technique |
| title_sort | hybrid encoding scheme for ambtc compressed images using ternary representation technique |
| topic | image compression AMBTC ternary representation <i>k</i>-means |
| url | https://www.mdpi.com/2076-3417/11/2/619 |
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