Learning nonlocal sparse and low-rank models for image compressive sensing: nonlocal sparse and low-rank modeling
The compressive sensing (CS) scheme exploits many fewer measurements than suggested by the Nyquist–Shannon sampling theorem to accurately reconstruct images, which has attracted considerable attention in the computational imaging community. While classic image CS schemes employ sparsity using analyt...
| Principais autores: | , , , , , |
|---|---|
| Outros Autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado em: |
2023
|
| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/10356/170135 |