Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.

Bibliographic Details
Main Author: Mansoor Ebrahim
Format: Thesis
Published: 2016
Subjects:
Online Access:http://eprints.sunway.edu.my/781/
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author Mansoor Ebrahim,
author_facet Mansoor Ebrahim,
author_sort Mansoor Ebrahim,
building SU Institutional Repository
collection Online Access
first_indexed 2025-11-14T21:14:42Z
format Thesis
id sunway-781
institution Sunway University
institution_category Local University
last_indexed 2025-11-14T21:14:42Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling sunway-7812020-09-22T02:14:57Z http://eprints.sunway.edu.my/781/ Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing. Mansoor Ebrahim, QA75 Electronic computers. Computer science QA76 Computer software 2016-07-11 Thesis NonPeerReviewed Mansoor Ebrahim, (2016) Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, Sunway University.
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Mansoor Ebrahim,
Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_full Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_fullStr Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_full_unstemmed Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_short Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_sort low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://eprints.sunway.edu.my/781/