Cra: A Generic Compression Ratio Adapter for End-To-End Data-Driven Image Compressive Sensing Reconstruction Frameworks.
Zhikang ZhangKai XuFengbo RenPublished in: ICASSP (2020)
Keyphrases
- end to end
- compressive sensing
- compressive sampling
- image representation
- compression ratio
- compressed sensing
- random projections
- image features
- sparse representation
- image data
- image classification
- image segmentation
- multiscale
- image compression
- reconstructed image
- image retrieval
- compression algorithm
- image quality
- signal processing
- high resolution
- image reconstruction
- wavelet transform
- coding method
- lossless compression
- compressed images
- object recognition