Least squares image estimation in the presence of drift and pixel noise.
Lorenzo PiazzoMaria Carmela RagusoJavier Gracia CarpioBruno AltieriPublished in: EUSIPCO (2016)
Keyphrases
- least squares
- input image
- image pixels
- transformed image
- image noise
- neighboring pixels
- pixel values
- intensity values
- image structure
- gray value
- displacement estimation
- grey level
- image data
- image features
- parameter estimation
- background noise
- random noise
- single image
- pixel level
- image frames
- intensity variations
- pixel wise
- pixel intensities
- intensity difference
- adjacent pixels
- noise free image
- image retrieval
- edge detection
- robust estimation
- image segmentation
- multiscale
- intensity gradient
- gray level
- test images
- homogeneous regions
- gaussian noise
- additive noise
- gray level images
- estimation algorithm
- focal plane
- spatial information
- intensity distribution
- segmentation method
- interpolation method
- segmentation algorithm
- image edges
- edge map
- salt and pepper noise
- denoising
- high resolution
- noise reduction