A new compressive sensing based image denoising method using block-matching and sparse representations over learned dictionaries.
Hamid Reza ShahdoostiSeyede Mahya HazaveiPublished in: Multim. Tools Appl. (2019)
Keyphrases
- sparse representation
- compressive sensing
- learned dictionary
- block matching
- image representation
- image classification
- test images
- denoising methods
- dictionary learning
- random projections
- sparse coding
- single image super resolution
- sparse reconstruction
- denoising
- image features
- motion estimation
- multiscale
- face recognition
- motion vectors
- signal processing
- image retrieval
- image data
- compressed sensing
- motion compensation
- noisy images
- denoising algorithm
- image denoising
- edge detection
- image patches
- video compression
- orthogonal matching pursuit
- optical flow
- input image
- high dimensional data
- image regions
- noise reduction
- image segmentation
- input data
- training set
- image sequences