The proposed Hybrid Compressed Sensing (HCS) employs the complex-sparse part of the projection matrix to divide the n-dimensional signal (x) into subsets. In ...

Abstract—We consider the problem of recovering a sig- nal/image (x) with a k-sparse representation, from hybrid (com- plex and real), noiseless linear ...

Sep 12, 2024 · We introduce an unsupervised reconstruction method that combines deep image prior (DIP) with compressed sensing (CS) to accelerate 3D CMRA.

The proposed Hybrid Compressed Sensing (HCS) employs the complex-sparse part of the projection matrix to divide the n-dimensional signal (x) into subsets. In ...

In this paper, a Hybrid NonLocal Sparsity Regularization (HNLSR) is developed and applied to image compressive sensing. The proposed HNLSR measures nonlocal ...

Sep 26, 2022 · The proposed system employs a hybrid transform for sensing matrix that reduces the computational complexity of image matrix.

A model with compressed sensing and hybrid transformers is proposed for segmentation. Compressed sensing is used to protect patient privacy.

The hybrid compressed sensing (hybrid-CS) technique can shorten the acquisition time compared with the sensitivity encoding (SENSE) technique in lumbar MRI.

We propose an unfolded network architecture that mixes Transformer and large kernel convolution to achieve sparse sampling and reconstruction of natural images.

A new image compression–encryption hybrid algorithm is proposed to realize compression and encryption simultaneously, where the key is easily distributed, ...