Spatially-Variant CNN-Based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy.
Adrian ShajkofciMichael LieblingPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- point spread function
- depth from defocus
- blind deconvolution
- blurred images
- blur kernel
- depth estimation
- image restoration
- motion blur
- spatially varying
- additive noise
- super resolution
- transfer function
- depth map
- map estimation
- synthetic and real images
- image deblurring
- linear combination
- spatial domain
- total variation
- dynamic scenes
- image analysis
- depth information
- multiple images
- regularization parameter
- disparity map
- estimation algorithm
- three dimensional
- stereo vision
- stereo matching
- image enhancement
- frequency domain
- higher order
- high quality