A new approach to identify the nature of the noise affecting an image.
K. ChehdiMohamed SabriPublished in: ICASSP (1992)
Keyphrases
- image noise
- image data
- image segmentation
- image content
- input image
- background noise
- image features
- multiscale
- image classification
- low frequency
- high resolution
- high contrast
- template matching
- random noise
- image representation
- image collections
- median filtering
- image structure
- image edges
- single image
- gaussian noise
- transformed image
- image retrieval
- low level
- additive noise
- image regions
- image analysis
- segmentation method
- edge detection
- high frequency
- pixel intensities
- geometric distortions
- low snr
- similarity measure
- signal to noise ratio
- test images
- image matching
- segmentation algorithm
- salt pepper
- noise level
- video sequences
- noise sensitivity
- image degradation
- imaging process
- natural images
- missing data
- intensity variations
- image statistics
- pixel values
- intensity distribution
- morphological filters
- denoising methods