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Conference Paper: Image reconstruction of compressive sensing using digital signal processing (DSP)

TitleImage reconstruction of compressive sensing using digital signal processing (DSP)
Authors
Issue Date2013
Citation
2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, 2013, p. 384-389 How to Cite?
AbstractCompressive sensing has opened up a new path to reconstruct images from a number of samples which is far smaller than the desired resolution of the images. A novel single pixel camera system has been developed based on this theory, and it can reconstruct images with a single optical sensing element. However, the development reminds challenge because the image recovery process is complex. For example, large amount of data is computed during the image recovery process and this make real-time processing of image become difficult. In order to improve the recovery speed, Orthogonal Matching Pursuit (OMP) algorithm for image recovery of compressive sensing are designed. However, the general OMP algorithm does not fit for digital signal processing (DSP) platform because it requires large memory allocation. In this paper, the modified OMP algorithm is introduced to improve calculation time with less memory requirement. The implementation of the algorithm on DSP device is presented and verified. Besides, the integration of the designed embedded hardware structure also increases the portability of the camera system. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213403

 

DC FieldValueLanguage
dc.contributor.authorBi, Sheng-
dc.contributor.authorXi, Ning-
dc.contributor.authorLai, King Wai Chiu-
dc.contributor.authorXu, Jing-
dc.contributor.authorHuang, Quanyong-
dc.date.accessioned2015-07-28T04:07:10Z-
dc.date.available2015-07-28T04:07:10Z-
dc.date.issued2013-
dc.identifier.citation2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, 2013, p. 384-389-
dc.identifier.urihttp://hdl.handle.net/10722/213403-
dc.description.abstractCompressive sensing has opened up a new path to reconstruct images from a number of samples which is far smaller than the desired resolution of the images. A novel single pixel camera system has been developed based on this theory, and it can reconstruct images with a single optical sensing element. However, the development reminds challenge because the image recovery process is complex. For example, large amount of data is computed during the image recovery process and this make real-time processing of image become difficult. In order to improve the recovery speed, Orthogonal Matching Pursuit (OMP) algorithm for image recovery of compressive sensing are designed. However, the general OMP algorithm does not fit for digital signal processing (DSP) platform because it requires large memory allocation. In this paper, the modified OMP algorithm is introduced to improve calculation time with less memory requirement. The implementation of the algorithm on DSP device is presented and verified. Besides, the integration of the designed embedded hardware structure also increases the portability of the camera system. © 2013 IEEE.-
dc.languageeng-
dc.relation.ispartof2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013-
dc.titleImage reconstruction of compressive sensing using digital signal processing (DSP)-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ROBIO.2013.6739489-
dc.identifier.scopuseid_2-s2.0-84898820239-
dc.identifier.spage384-
dc.identifier.epage389-

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