JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | Raviya, Kaushik | |
| dc.contributor.author | Vyas, Ved | |
| dc.contributor.author | Kothari, Ashish | |
| dc.date.accessioned | 2023-05-17T04:05:53Z | |
| dc.date.available | 2023-05-17T04:05:53Z | |
| dc.date.issued | 2019-04 | |
| dc.identifier.citation | Raviya, K. ,Vyas, V. ,Kothari, A.(2019). SVD Based Performance Improvement in Hiding a Message Behind an Image. International Journal of Advanced Trends in Computer Science and Engineering, 8(2), 182-186, ISSN : 2278-3091, Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse12822019.pdf https://doi.org/10.30534/ijatcse/2019/12822019 | en_US |
| dc.identifier.issn | 2278-3091 | |
| dc.identifier.uri | http://10.9.150.37:8080/dspace//handle/atmiyauni/989 | |
| dc.description.abstract | The paper describes an effective method to embed grayscale images or watermarks in the original cover images. To do so, we used a famous linear algebra technique called Singular Value Decomposition. To carry out the test work results and analysis, we observed the two most common metrics namely Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) during the research work. Correlation was found between the original image and the recovered image during extraction of watermark. This method was found fully robust against various attacks which were carried out throughout the research. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | International Journal of Advanced Trends in Computer Science and Engineering | en_US |
| dc.subject | Image watermarking | en_US |
| dc.subject | MSE | en_US |
| dc.subject | PSNR | en_US |
| dc.subject | Singular Value Decomposition | en_US |
| dc.title | SVD Based Performance Improvement in Hiding a Message Behind an Image | en_US |
| dc.type | Article | en_US |
