CNN-Based Copy-Move Forgery Detection Using Rotation-Invariant Wavelet Feature.
Sang In LeeJun Young ParkIl Kyu EomPublished in: IEEE Access (2022)
Keyphrases
- rotation invariant
- copy move forgery
- digital images
- ridgelet transform
- feature vectors
- dominant orientation
- shift invariant
- rotation invariance
- texture analysis
- texture classification
- texture features
- wavelet features
- dt cwt
- scale invariance
- texture image retrieval
- wavelet coefficients
- local binary pattern
- wavelet transform
- zernike moments
- multiscale
- object detection
- feature extraction
- texture images
- denoising
- image features
- multiresolution
- gabor filters
- wavelet decomposition
- similarity measure
- dual tree
- feature set
- invariant features
- pattern recognition
- detection algorithm