Low-Complexity Rate-Distortion Optimization of Sampling Rate and Bit-Depth for Compressed Sensing of Images

Compressed sensing (CS) offers a framework for image acquisition, which has excellent potential in image sampling and compression applications due to the sub-Nyquist sampling rate and low complexity. In engineering practices, the resulting CS samples are quantized by finite bits for transmission. In...

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Detalles Bibliográficos
Autores principales: Chen, Qunlin, Chen, Derong, Gong, Jiulu, Ruan, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516434/
https://www.ncbi.nlm.nih.gov/pubmed/33285900
http://dx.doi.org/10.3390/e22010125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516434/
https://www.ncbi.nlm.nih.gov/pubmed/33285900
http://dx.doi.org/10.3390/e22010125

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