13 citations · 14 across the 4 of their papers we have counts for
4 papers
Full Image Recover for Block-Based Compressive Sensing
Xuemei Xie, Chenye Wang, Jiang Du +1
Recent years, compressive sensing (CS) has improved greatly for the application of deep learning technology. For convenience, the input image is usually measured and reconstructed…
Perceptual Compressive Sensing
Jiang Du, Xuemei Xie, Chenye Wang +1
Compressive sensing (CS) works to acquire measurements at sub-Nyquist rate and recover the scene images. Existing CS methods always recover the scene images in pixel level. This ca…
Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Jiang Du, Xuemei Xie, Chenye Wang +3
Recently, deep learning methods have made a significant improvement in compressive sensing image reconstruction task. In the existing methods, the scene is measured block by block…
Adaptive Measurement Network for CS Image Reconstruction
Xuemei Xie, Yuxiang Wang, Guangming Shi +3
Conventional compressive sensing (CS) reconstruction is very slow for its characteristic of solving an optimization problem. Convolu- tional neural network can realize fast process…