Least Squares Image Estimation for Large Data in the Presence of Noise and Irregular Sampling.
Lorenzo PiazzoPublished in: IEEE Trans. Image Process. (2017)
Keyphrases
- image data
- least squares
- data sets
- training data
- random noise
- input data
- missing data
- sampled data
- image analysis
- multiscale
- estimation process
- image classification
- noisy data
- sparsely sampled
- image noise
- image structure
- data points
- data analysis
- image representation
- input image
- background noise
- single image
- edge detection
- noise level
- robust estimation
- additive noise
- high resolution
- image edges
- high quality