Non-parametric regression for patch-based fluorescence microscopy image sequence denoising.
Jérôme BoulangerJean-Baptiste SibaritaCharles KervrannPatrick BouthemyPublished in: ISBI (2008)
Keyphrases
- fluorescence microscopy
- image sequences
- denoising
- gaussian processes
- image denoising
- regression model
- image processing
- total variation
- semi parametric
- spatio temporal
- similar patches
- motion estimation
- wavelet domain
- optical flow
- noisy images
- motion analysis
- denoising algorithm
- natural images
- computer vision
- object tracking
- gaussian process
- feature points
- image frames
- video sequences
- structure from motion
- motion detection
- regression problems
- camera motion
- wavelet packet
- regression algorithm
- motion segmentation
- image completion
- support vector regression
- depth map
- outdoor scenes
- gaussian noise
- motion model
- model selection
- linear regression
- motion field
- background subtraction
- consecutive images
- three dimensional
- image patches
- support vector
- regression methods
- image super resolution
- machine learning
- regression method
- denoising methods
- partial least squares
- optic flow
- texture synthesis
- flow field
- human body
- probability density function
- point correspondences