Combining spatial and DCT based Markov features for enhanced blind detection of image splicing.
El-Sayed M. El-AlfyMuhammad Ali QureshiPublished in: Pattern Anal. Appl. (2015)
Keyphrases
- image features
- spatial information
- spatial distribution
- spatial relationships
- spatial arrangement
- extracting features
- single image
- spatial features
- false positives
- image data
- low level
- image content
- invariant features
- adaboost classifier
- automatic image orientation
- image retrieval
- multiscale
- image representation
- extracted features
- feature space
- input image
- image regions
- test images
- keypoints
- object detectors
- hough transform
- feature descriptors
- feature detection
- spatial layout
- spatial frequency
- feature vectors
- region features
- object detection
- feature points
- image matching
- transform domain
- edge detection
- frequency domain
- bounding box
- textural features
- partial occlusion
- spatial configuration
- spatial pyramid matching
- spatial data
- high resolution
- intensity histogram
- texture and shape features