| Title | Singular Value Decomposition (SVD) based Image Tamper Detection Scheme |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Kaur, S., Jindal, A. |
| Conference Name | 2020 International Conference on Inventive Computation Technologies (ICICT) |
| Keywords | coding theory, compositionality, cryptography, digital imaging, feature extraction, image authentication, image authentication techniques, Image coding, image tamper detection scheme, Metrics, pubcrawl, QR code, QR codes, quick response code, quick response code feature extraction, resilience, Resiliency, S matrix, S-matrix theory, security, singular value decomposition, singular values, source coding, SVD |
| Abstract | Image authentication techniques are basically used to check whether the received document is accurate or actual as it was transmitted by the source node or not. Image authentication ensures the integrity of the digital images and identify the ownership of the copyright of the digital images. Singular Value Decomposition (SVD) is method based on spatial domain which is used to extract important features from an image. SVD function decomposes an image into three matrices (U, S, V), the S matrix is a diagonal matrix constitutes singular values. These values are important features of that particular image. The quick response code features are utilized to create QR code from the extracted values. The evaluations produced represents that this designed method is better in producing authenticated image as compared to existing schemes. |
| DOI | 10.1109/ICICT48043.2020.9112432 |
| Citation Key | kaur_singular_2020 |
Singular Value Decomposition (SVD) based Image Tamper Detection Scheme