Image Splicing Detection Based on the Q-Markov Features.
Hongda ShengXuanjing ShenZenan ShiPublished in: PCM (2) (2018)
Keyphrases
- image features
- low level
- extracting features
- test images
- original images
- adaboost classifier
- false positives
- image pixels
- extracted features
- image analysis
- input image
- feature representation
- image classification
- image representation
- multiscale
- image content
- single image
- image segmentation
- feature values
- image data
- grey level
- global features
- feature space
- image regions
- spatial information
- image retrieval
- feature extraction
- image collections
- invariant features
- feature detection
- automatic image orientation
- spatial relationships
- segmentation method
- object detection
- feature set
- feature points
- color features
- feature vectors
- bounding box
- keypoints
- hough transform
- texture and shape features
- partial occlusion
- image set
- intensity histogram
- image sequences
- splice site
- road signs
- high resolution
- edge detection
- object detectors
- detection algorithm
- fingerprint images
- detection method
- color histogram
- pixel values
- region of interest