Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе: https://open.uns.ac.rs/handle/123456789/1766
Nаziv: HEVC-based compression of high bit-depth 3D seismic data
Аutоri: Radosavljević, Miloš
Xiong Z.
Lu L.
Hohl D.
Vukobratović, Dejan 
Dаtum izdаvаnjа: 20-феб-2018
Čаsоpis: Proceedings - International Conference on Image Processing, ICIP
Sažetak: © 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
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