JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing.
Chunyan ZengJiaxiang YeZhifeng WangNan ZhaoMinghu WuPublished in: CoRR (2022)
Keyphrases
- compressed sensing
- compressive sampling
- compressive sensing
- image reconstruction
- neural network
- high quality
- random projections
- high resolution
- orthogonal matching pursuit
- natural images
- sparse representation
- image data
- multiscale
- image features
- input image
- image classification
- single image
- template matching
- image representation
- pattern recognition
- fourier domain
- image segmentation
- keypoints
- super resolution
- signal processing
- fourier transform
- dimension reduction
- image structure
- edge detection
- image retrieval