Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery
Recently, sensor networks have emerged as a high-impact research area, and a number of high profile applications have been proposed. Although significant progress has already been made on securing basic network protocols, additional research is needed to produce techniques and methods for protecting...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/10/2267 |
| _version_ | 1828371436242206720 |
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| author | Chin-Feng Lee Jau-Ji Shen Zhao-Ru Chen Somya Agrawal |
| author_facet | Chin-Feng Lee Jau-Ji Shen Zhao-Ru Chen Somya Agrawal |
| author_sort | Chin-Feng Lee |
| collection | DOAJ |
| description | Recently, sensor networks have emerged as a high-impact research area, and a number of high profile applications have been proposed. Although significant progress has already been made on securing basic network protocols, additional research is needed to produce techniques and methods for protecting canonical tasks in wireless sensor networks. In this paper, we propose an effective self-embedding authentication watermarking method for tampered location detection and image recovery. The proposed detection method is classified into block-wise and pixel-wise. In block-wise detection, if the size of the block is small, the false positive rate (FPR) will be low. In pixel-wise detection, when the tampered pixels are detected, only the corresponding pixel area is marked. Therefore, the FPR will be lower than that of the block-wise detection. The experimental results demonstrate that the proposed method was effective, and accurate tamper detection and high-quality recovery can be realized even in highly tampered images. |
| first_indexed | 2024-04-14T06:49:44Z |
| format | Article |
| id | doaj.art-b5d79c765cf640cc8dab026737c6e731 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T06:49:44Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b5d79c765cf640cc8dab026737c6e7312022-12-22T02:07:04ZengMDPI AGSensors1424-82202019-05-011910226710.3390/s19102267s19102267Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image RecoveryChin-Feng Lee0Jau-Ji Shen1Zhao-Ru Chen2Somya Agrawal3Department of Information Management, Chaoyang University of Technology, Taichung 41349, TaiwanDepartment of Management Information Systems, National Chung Hsing University, Taichung 40227, TaiwanDepartment of Management Information Systems, National Chung Hsing University, Taichung 40227, TaiwanDepartment of Information Management, Chaoyang University of Technology, Taichung 41349, TaiwanRecently, sensor networks have emerged as a high-impact research area, and a number of high profile applications have been proposed. Although significant progress has already been made on securing basic network protocols, additional research is needed to produce techniques and methods for protecting canonical tasks in wireless sensor networks. In this paper, we propose an effective self-embedding authentication watermarking method for tampered location detection and image recovery. The proposed detection method is classified into block-wise and pixel-wise. In block-wise detection, if the size of the block is small, the false positive rate (FPR) will be low. In pixel-wise detection, when the tampered pixels are detected, only the corresponding pixel area is marked. Therefore, the FPR will be lower than that of the block-wise detection. The experimental results demonstrate that the proposed method was effective, and accurate tamper detection and high-quality recovery can be realized even in highly tampered images.https://www.mdpi.com/1424-8220/19/10/2267wireless sensor networksimage stenographyimage authentication schemetamper detectionfragile watermarking methodself-recovery |
| spellingShingle | Chin-Feng Lee Jau-Ji Shen Zhao-Ru Chen Somya Agrawal Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery Sensors wireless sensor networks image stenography image authentication scheme tamper detection fragile watermarking method self-recovery |
| title | Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery |
| title_full | Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery |
| title_fullStr | Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery |
| title_full_unstemmed | Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery |
| title_short | Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery |
| title_sort | self embedding authentication watermarking with effective tampered location detection and high quality image recovery |
| topic | wireless sensor networks image stenography image authentication scheme tamper detection fragile watermarking method self-recovery |
| url | https://www.mdpi.com/1424-8220/19/10/2267 |
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