A Novel Watermarking Method using Hadamard Matrix Quantization
One of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is inefficient. In this paper, a Hadamard matrix...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ITB Journal Publisher
2020-07-01
|
| Series: | Journal of ICT Research and Applications |
| Subjects: | |
| Online Access: | http://journals.itb.ac.id/index.php/jictra/article/view/10546 |
| _version_ | 1818999525649416192 |
|---|---|
| author | Prajanto Wahyu Adi Pramudi Arsiwi |
| author_facet | Prajanto Wahyu Adi Pramudi Arsiwi |
| author_sort | Prajanto Wahyu Adi |
| collection | DOAJ |
| description | One of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is inefficient. In this paper, a Hadamard matrix is used to get a singular matrix for the reconstruction process. Moreover, SVD works with a floating-point value, which takes long processing time, while the Hadamard matrix works with an integer range, which is more efficient. Visual measurement showed that SVD and the new method had average NC values of 0.8321 and 0.8293, whereas the average SSIM values resulted in the same value (0.9925). In terms of processing time, the proposed method ran faster than SVD with an embedding and extraction time of 0.6308 and 0.2163 seconds against 0.8419 and 0.2935 seconds. The proposed method successfully reduced the running time while maintaining imperceptibility and robustness. |
| first_indexed | 2024-12-20T22:18:49Z |
| format | Article |
| id | doaj.art-37694f90b1104e3db2e22e5de0606a63 |
| institution | Directory Open Access Journal |
| issn | 2337-5787 2338-5499 |
| language | English |
| last_indexed | 2024-12-20T22:18:49Z |
| publishDate | 2020-07-01 |
| publisher | ITB Journal Publisher |
| record_format | Article |
| series | Journal of ICT Research and Applications |
| spelling | doaj.art-37694f90b1104e3db2e22e5de0606a632022-12-21T19:24:59ZengITB Journal PublisherJournal of ICT Research and Applications2337-57872338-54992020-07-0114110.5614/itbj.ict.res.appl.2020.14.1.1A Novel Watermarking Method using Hadamard Matrix QuantizationPrajanto Wahyu Adi0Pramudi Arsiwi1Department of Informatics Engineering, Universitas Dian Nuswantoro Semarang, Jalan Imam Bonjol 207, 50131 SemarangDepartment of Industrial Engineering, Universitas Dian Nuswantoro Semarang, Jalan Imam Bonjol 207, 50131 SemarangOne of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is inefficient. In this paper, a Hadamard matrix is used to get a singular matrix for the reconstruction process. Moreover, SVD works with a floating-point value, which takes long processing time, while the Hadamard matrix works with an integer range, which is more efficient. Visual measurement showed that SVD and the new method had average NC values of 0.8321 and 0.8293, whereas the average SSIM values resulted in the same value (0.9925). In terms of processing time, the proposed method ran faster than SVD with an embedding and extraction time of 0.6308 and 0.2163 seconds against 0.8419 and 0.2935 seconds. The proposed method successfully reduced the running time while maintaining imperceptibility and robustness.http://journals.itb.ac.id/index.php/jictra/article/view/10546Hadamard matriximage processingquantizationSVDwatermarking |
| spellingShingle | Prajanto Wahyu Adi Pramudi Arsiwi A Novel Watermarking Method using Hadamard Matrix Quantization Journal of ICT Research and Applications Hadamard matrix image processing quantization SVD watermarking |
| title | A Novel Watermarking Method using Hadamard Matrix Quantization |
| title_full | A Novel Watermarking Method using Hadamard Matrix Quantization |
| title_fullStr | A Novel Watermarking Method using Hadamard Matrix Quantization |
| title_full_unstemmed | A Novel Watermarking Method using Hadamard Matrix Quantization |
| title_short | A Novel Watermarking Method using Hadamard Matrix Quantization |
| title_sort | novel watermarking method using hadamard matrix quantization |
| topic | Hadamard matrix image processing quantization SVD watermarking |
| url | http://journals.itb.ac.id/index.php/jictra/article/view/10546 |
| work_keys_str_mv | AT prajantowahyuadi anovelwatermarkingmethodusinghadamardmatrixquantization AT pramudiarsiwi anovelwatermarkingmethodusinghadamardmatrixquantization AT prajantowahyuadi novelwatermarkingmethodusinghadamardmatrixquantization AT pramudiarsiwi novelwatermarkingmethodusinghadamardmatrixquantization |