Automated image splicing detection using deep CNN-learned features and ANN-based classifier.
Souradip NathRuchira NaskarPublished in: Signal Image Video Process. (2021)
Keyphrases
- image features
- extracted features
- feature extractor
- feature values
- feature set
- automatic image orientation
- low level
- image data
- multiple classifiers
- image classification
- extracting features
- test images
- input image
- individual features
- adaboost classifier
- keypoints
- svm classifier
- class specific
- object detectors
- classification method
- feature space
- image representation
- false positives
- classifier training
- global features
- feature histograms
- morphological features
- complementary features
- histograms of oriented gradients
- labeled images
- decision trees
- image segmentation
- discriminative classifiers
- multiscale
- classification process
- spatial information
- image content
- training data
- segmentation method
- texture and shape features
- support vector machine classifier
- feature extraction
- image retrieval
- image regions
- feature selection
- object detection
- textural features
- convolutional neural network
- class labels
- artificial neural networks
- detection method
- weak classifiers
- edge detection
- support vector machine
- single feature
- classification accuracy
- gabor filters
- feature maps
- feature vectors
- high resolution