Local Binary Pattern Symmetric Centre Feature Extraction Method for Detection of Image Forgery
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21385-4_8
Reference21 articles.
1. Uliyan, D.M., Jalab, H.A., Wahab, A.W.A.: Copy move image forgery detection using Hessian and center symmetric local binary pattern. In 2015 IEEE Conference on Open Systems (ICOS), pp. 7–11 (2015)
2. Davarzani, R., Mozaffari, S., Yaghmaie, K.: Perceptual image hashing using center-symmetric local binary patterns. Multimedia Tools and Applications 75(8), 4639–4667 (2015). https://doi.org/10.1007/s11042-015-2496-6
3. Park, J.Y., Kang, T.A., Moon, Y.H., Eom, I.K.: Copy-move forgery detection using scale invariant feature and reduced local binary pattern histogram. Symmetry 12(4), 492 (2020)
4. Tuncer, T., Kaya, M.: A novel image watermarking method based on center symmetric local binary pattern with minimum distortion. Optik 185, 972–984 (2019)
5. Singh, M.K., Singh, A.K., Singh, N.: Multimedia analysis for disguised voice and classification efficiency. Multimedia Tools and Applications 78(20), 29395–29411 (2018). https://doi.org/10.1007/s11042-018-6718-6
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