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dc.contributor.advisorRao, Kamisetty R.
dc.creatorVasireddy, Srikanth
dc.date.accessioned2016-07-08T20:53:31Z
dc.date.available2016-07-08T20:53:31Z
dc.date.created2016-05
dc.date.issued2016-05-10
dc.date.submittedMay 2016
dc.identifier.urihttp://hdl.handle.net/10106/25801
dc.description.abstractIncreasing the resolution of the video has been the main interest in the television industry for a long time. More recently the industry is studying techniques to increase the range of luminance and color representation in videos. This is achieved through High Dynamic Range/ Wide Color Gamut (HDR/WCG) videos by providing visual quality of experience to the end consumers close to that of real life compared to the Standard Dynamic Range (SDR) videos.In order to deliver high-quality video services to consumers, efficient compression techniques are required to store or transmit a video especially for high resolution video formats whilst maintaining an ‘acceptable’ level of video quality. One such technology is High Efficiency Video Coding (HEVC) which is the current state-of-art video codec providing a higher compression capability and is widely being adopted by lot of users. The primary focus of the thesis is to investigate different approaches for HDR video compression and implement a scheme using a pre/post processing scheme with the HM-16.7 software as a part of this research. In this study, the quality of HDR video using proposed scheme with the original HDR video, both compressed by the HEVC standard is evaluated using different objective metrics (tPSNR-X, tPSNR-Y, tPSNR-XYZ, tOSNR-XYZ, PSNR_DE100 and PSNR_L100) for different test sequences. Also the visual quality tests are performed for different test sequences. The thesis concludes with a discussion and possible directions for future work.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectHDR/WCG
dc.subjectSDR
dc.subjectHEVC
dc.titleHDR VIDEO COMPRESSION USING H.265 (HEVC) MAIN 10 PROFILE
dc.typeThesis
dc.degree.departmentElectrical Engineering
dc.degree.nameMaster of Science in Electrical Engineering
dc.date.updated2016-07-08T20:55:39Z
thesis.degree.departmentElectrical Engineering
thesis.degree.grantorThe University of Texas at Arlington
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Electrical Engineering
dc.type.materialtext


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