dc.contributor.authorYang, Gao
dc.date.accessioned2011-06-06T03:13:52Z
dc.date.accessioned2017-07-23T08:33:30Z
dc.date.available2011-06-06T03:13:52Z
dc.date.available2017-07-23T08:33:30Z
dc.date.copyright2011en_US
dc.date.issued2011
dc.identifier.citationYang, G. (2011). No-reference objective quality assessment and enhancement for compressed images and videos. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/44824
dc.description.abstractThis thesis proposes new and effective methods to assess the objective quality of compressed digital images and videos, and to enhance the reconstruction quality of them using multiple compressed copies. Digital images and videos are shared over the Internet by millions of users everyday. Such contents are usually highly compressed for efficient transmission at the expense of fidelity. The end users may want to know the quality of these images and videos after lossy compression, should she wish to archive or further process them. There may also be several differently compressed copies of the same content residing at different locations on the web. The end user may like to compare the quality between them so as to pick the best one, or even generating a “super copy” with image quality superior to any of the copies available.en_US
dc.format.extent158 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.titleNo-reference objective quality assessment and enhancement for compressed images and videosen_US
dc.typeThesis
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorTan Yap Pengen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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