Compressed sensing based on L1 and TGV regularization for low-light-level images denoising.
Yumin CuiLiju YinHui ZhouMingliang GaoXiangyu TangYulin DengYan LiangPublished in: Digit. Signal Process. (2023)
Keyphrases
- low light
- compressed sensing
- denoising
- visible spectrum
- input image
- image data
- random projections
- image classification
- image analysis
- image reconstruction
- natural images
- image features
- feature points
- sparse representation
- image registration
- three dimensional
- motion blur
- total variation
- gaussian noise
- synthetic and real images
- image matching
- image retrieval
- noise level
- multiple images
- noisy images
- image denoising
- fourier domain
- high quality
- pixel values
- keypoints
- edge detection