Authors :
Hawraa Sabah Naser
Volume/Issue :
Volume 10 - 2025, Issue 10 - October
Google Scholar :
https://tinyurl.com/57ehz6ms
Scribd :
https://tinyurl.com/ya2cmynm
DOI :
https://doi.org/10.38124/ijisrt/25oct103
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Abstract :
In present time where most of information and data around the world become digital in every field such as news
and with all these programs, tools, artificial intelligence that used to edit , manipulate , change, forgery in images and videos
it is become harder to detect these changes especially the one that used to forgery .this paper present image splicing method
to detect changes in image by using Ycbcr format , predict-error edge detection and for preprocessing enhance the image
using Curvelet transform to reduce the noise [1].
References :
- Thales pomari, guillherme Ruppert, Edmar Rezende,Anderson Rocha, Tigo Carvalho,"IMAGE SPLICING DETECTION THROUGH ILLUMINATION INCONSISTENCIES AND DEEP LEARNING" IEEE, 2381-8549 , 2018.
- Shivani Tufchi, Ashima Yadav, Tanveer Ahmed, "Advanced Multi-Model Approach for Robust Image-Based Fake News Detection: A Comparative Study of Different Image Models", 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp.1-7, 2024.
- Davide Cozzolino, Giovanni Poggi, Lusia Verdoliva, "SPLICERBUSTER: ANEW BLIND IMAGE SPLICING DETECTOR", 2015 IEEE International Workshop on Information Forensics and Security (WIFS) (2015): 1-6.
- Wei Wang, J. Dong and T. Tan, "Effective image splicing detection based on image chroma," 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009, pp. 1257-1260, doi: 10.1109/ICIP.2009.5413549.
- Belal Ahmed , T.Aaron Gulliver , Saif alZahir ,"Image splicing detection using mask-RCNN"springer , 2020.
- Nikolas Galatsanos, Andrew Segall,Aggelos Katsaggelos, "Digital Image Enhancement," Encyclopedia of Optical Engineering, pp. 388-402, 2003.
- Sahera Abued Sead Almola," REVIEW IN IMAGES ENHANCEMENT MEDICAL USING CURVELET TRANSFORM AND VECTOR INFORMATION ", Iraqi Journal of Intelligent Computing and Informatics (IJICI), Vol. 1, 2, December 2022, pp. 107~118 .
- D. Mary sugantharathnam, Dr. D. Manimegalai, "The Curvelet Approach for Denoising in various Imaging Modalities using Different Shrinkage Rules," International Journal of Computer Applications, Vol. 29, No.7, pp. 36-42, September 2011.
- K. Zhang, Y. Liang, J. Zhang, Z. Wang and X. Li, "No One Can Escape: A General Approach to Detect Tampered and Generated Image," in IEEE Access, vol. 7, pp. 129494-129503, 2019, doi: 10.1109/ACCESS.2019.2939812.
- Wei Wang, Jing Dong and Tieniu Tan," IMAGE TAMPERING DETECTION BASED ON STATIONARY DISTRIBUTION OF MARKOV CHAIN", National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences,P.O. Box 2728, Beijing, P.R. China, 100190 wwang, jdong, [email protected]
In present time where most of information and data around the world become digital in every field such as news
and with all these programs, tools, artificial intelligence that used to edit , manipulate , change, forgery in images and videos
it is become harder to detect these changes especially the one that used to forgery .this paper present image splicing method
to detect changes in image by using Ycbcr format , predict-error edge detection and for preprocessing enhance the image
using Curvelet transform to reduce the noise [1].