A Novel Memory-Efficient Fast Algorithm for 2-D

The basic theories of compressed sensing (CS) turn around the sampling and reconstruction of 1-D signals. To deal with 2-D signals (images), the conventional treatment is to convert them into1-D vectors. This has drawbacks, including huge memory demands and difficulties in the design and calibration...

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Bibliographic Details
Main Author: Wang, Huiyuan (author)
Other Authors: Vieira, José (author), Jesus, Bruno (author), Duarte, Isabel (author), Ferreira, Paulo (author)
Format: article
Language:eng
Published: 2015
Subjects:
Compressed sensing
2-D transform
Image reconstruction
Imaging sampling
Online Access:http://hdl.handle.net/10400.19/2502
Country:Portugal
Oai:oai:repositorio.ipv.pt:10400.19/2502

Internet

http://hdl.handle.net/10400.19/2502

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