-Net: Deep Residual Reconstruction Network for Image Compressive Sensing.

Hantao Yao Feng Dai Dongming Zhang Yike Ma Shiliang Zhang Yongdong Zhang

Published in: CoRR (2017)

Keyphrases

compressive sensing
compressive sampling
image representation
image recovery
image features
image data
sparse representation
signal reconstruction
multiscale
sparse reconstruction
high resolution
random projections
image retrieval
input image
compressed sensing
image segmentation
image classification
signal processing
orthogonal matching pursuit
image reconstruction
object recognition
high quality
single image super resolution
natural images
neural network
dimensionality reduction
image processing