Quantifying image naturalness using differential curvelet features.
P. Shabari NathHarsh K. GandhiRajlaxmi ChouhanPublished in: IVCNZ (2021)
Keyphrases
- image features
- low level
- image data
- image content
- image regions
- image pixels
- image analysis
- extracted features
- single image
- original images
- spatial distribution
- input image
- image description
- extracting features
- image representation
- image similarity
- feature values
- test images
- feature matching
- feature representation
- global features
- image segmentation
- spatial information
- image retrieval
- edge detection
- multiscale
- geometric constraints
- target object
- spatial relationships
- image classification
- keypoints
- grey level
- pixel values
- feature extraction
- matching process
- textural features
- invariant features
- similarity measure
- feature detectors
- image matching
- feature space
- feature vectors
- feature descriptors
- image collections
- computer vision
- enhanced image
- curvelet transform
- salient features
- color histogram
- image set
- region of interest
- gray level
- feature set
- denoising