Statistical Modeling for 3-D DFT Coefficients of Moving-Image Sequences and its Application to Denoising.
Takashi KomatsuTakahiro SaitoPublished in: ICIP (2018)
Keyphrases
- statistical modeling
- denoising
- image sequences
- frequency domain
- wavelet packet
- moving objects
- denoising methods
- image denoising
- statistical models
- moving camera
- noisy images
- image processing
- hard thresholding
- spatio temporal
- denoising algorithm
- object tracking
- wavelet domain
- total variation
- rigid objects
- natural images
- linear combination
- wavelet coefficients
- predictive modeling
- fourier coefficients
- motion analysis
- computer vision
- fourier transform
- optical flow
- discrete fourier transform
- video sequences
- structure from motion
- three dimensional
- motion estimation
- background subtraction
- detection of moving objects
- gaussian noise
- flow field
- feature points
- noise level
- motion parameters
- motion model
- least squares
- wavelet transform
- basis functions
- motion segmentation
- spatial domain
- image segmentation
- machine learning
- nonparametric bayesian