Reducing noise in high-resolution video sequences by using wavelet shrinkage in the temporal-spatial domain.
Yasutaka MatsuoYukikiro NishidaSeiichi GohshiShinichi SakaidaPublished in: PCS (2009)
Keyphrases
- spatial domain
- wavelet shrinkage
- denoising
- frequency domain
- video sequences
- motion estimation
- additive noise
- high resolution
- wavelet domain
- image denoising
- shift invariant
- signal to noise ratio
- translation invariant
- noise suppression
- transform domain
- temporal information
- image processing
- inverse problems
- wavelet transform
- super resolution
- low resolution
- denoising algorithm
- blurred images
- space time
- natural images
- gaussian noise
- high frequency
- noisy images
- motion vectors
- image sequences
- noise removal
- computer vision
- median filter
- video coding
- low frequency
- video data
- discrete wavelet transform
- object recognition
- video frames
- multiscale
- high quality
- frame rate
- noise level
- scale space
- low pass
- noise reduction
- speckle noise
- optical flow
- feature extraction
- camera motion