Multi-scale noise-guided progressive network for image splicing detection and localization.
Dengyong ZhangNingjing JiangFeng LiJiaxin ChenXin LiaoGaobo YangXiangling DingPublished in: Expert Syst. Appl. (2024)
Keyphrases
- multiscale
- image representation
- background noise
- image noise
- image features
- accurate localization
- edge detection
- image data
- random noise
- image classification
- scale space
- image content
- image segmentation
- geometric distortions
- multiple scales
- image structure
- image analysis
- input image
- segmentation method
- keypoints
- single image
- millimeter wave
- low signal to noise ratio
- gaussian noise
- imaging process
- road signs
- intensity variations
- image retrieval
- noisy environments
- additive noise
- noise level
- feature points
- local binary pattern
- noise reduction
- anomaly detection
- test images
- image regions
- fine scale
- computer vision
- fundus images
- salt pepper
- precise localization
- image edges
- wavelet decomposition
- pixel values
- coarse to fine
- signal to noise ratio
- hough transform
- segmentation algorithm
- wavelet transform