dc.contributor.advisor | Xiong, Zixiang | |
dc.creator | Liu, Yiding | |
dc.date.accessioned | 2016-09-16T15:18:07Z | |
dc.date.available | 2016-09-16T15:18:07Z | |
dc.date.created | 2016-08 | |
dc.date.issued | 2016-06-06 | |
dc.date.submitted | August 2016 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/157865 | |
dc.description.abstract | Driven by the need for seismic data compression with high dynamic range and 32-bit resolution, we propose two algorithms to efficiently and precisely control the signal-to-noise ratio (SNR) and bit rate in JPEG XR image compression to allow users to compress seismic data with a target SNR or a target bit rate. Based on the quantization properties of JPEG XR and the nature of blank macroblocks, we build a reliable model between the quantization parameter (QP) and SNR. This enables us to estimate the right QP with target quality for the JPEG XR encoder. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | rate control | en |
dc.subject | quality control | en |
dc.subject | JPEG XR | en |
dc.title | Quality and Rate Control of JPEG XR | en |
dc.type | Thesis | en |
thesis.degree.department | Electrical and Computer Engineering | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Texas A & M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Serpedin, Erchin | |
dc.contributor.committeeMember | Braga-Neto, Ulisses | |
dc.contributor.committeeMember | Liu, Jyh-Charn | |
dc.type.material | text | en |
dc.date.updated | 2016-09-16T15:18:07Z | |
local.etdauthor.orcid | 0000-0002-1995-4344 | |