Answers are grounded in this paper and cite their sources.
Image splicing detection method predicts changes using Ycbcr format and Curvelet transform, indicating enhanced accuracy in identifying forgery.
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].
No takes yet. Share an insight, caveat, or question.
Hassan Naser (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: