Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/1766
Title: HEVC-based compression of high bit-depth 3D seismic data
Authors: Radosavljević, Miloš
Xiong Z.
Lu L.
Hohl D.
Vukobratović, Dejan 
Issue Date: 20-Feb-2018
Journal: Proceedings - International Conference on Image Processing, ICIP
Abstract: © 2017 IEEE. In a previous work [1] we applied the idea of HEVC intra coding to compression of 32 b/p seismic images. Results are significantly better than those from a licensed commercial wavelet-based codec that is currently used at Shell for seismic image compression, which performs on par with JPEGXR. Building upon [1], this paper exploits HEVC-based inter predictive coding for 3D 32 b/p seismic data. We propose a new model for the Lagrange multiplier in R-D optimization to accommodate 32 b/p bit-depth and extended quantization parameter range. We also focus on reducing the complexity of motion estimation to meet application needs. Experiments with our new codec show a 95% complexity reduction of encoding time at 10:1 compression ratio with only 1 dB loss on average PSNR. The compression performance and subjective quality of our codec received high evaluation marks from Shell geologists.
URI: https://open.uns.ac.rs/handle/123456789/1766
ISBN: 9781509021758
ISSN: 15224880
DOI: 10.1109/ICIP.2017.8297039
Appears in Collections:FTN Publikacije/Publications

Show full item record

SCOPUSTM   
Citations

4
checked on Nov 20, 2023

Page view(s)

23
Last Week
7
Last month
0
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.