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- W2892466664 abstract "The current methods in select-shift forgeries are built on segment matching. By taking advantage of present electrical instruments human logically blurs the boundaries of a picture. Thus, the current methods abort to detect the replicas in a pictures. To determine this issue a new path is developed to detect the select-shift using transform domain which is time invariant, to discover identical and non-identical, noise caused by the blurring the boundaries. Here we use SWT unlike discrete wavelet transform (DWT) and to withdrawal the elements using SVD. A concept of electric point fixing is introduced. An intensity based partition is used to achieve blur invariance with high detection accuracy." @default.
- W2892466664 created "2018-10-05" @default.
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- W2892466664 date "2018-04-01" @default.
- W2892466664 modified "2023-09-25" @default.
- W2892466664 title "A Novel Approach for Detection of Copy-Move Forgery Detection using Transform Domain" @default.
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- W2892466664 doi "https://doi.org/10.1109/icicct.2018.8473051" @default.
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