HEVC-based compression of high bit-depth 3D seismic data

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. Buildi...

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Bibliographic Details
Main Authors: Radosavljevic, Milos, Xiong, Zixiang, Lu, Ligang, Hohl, Detlef, Vukobratovic, Dejan
Format: Conference Proceeding
Language:English
Subjects:
3D volumetric seismic data
Codecs
Complexity theory
Distortion
HEVC
high bit-depth video compression
Image coding
Lagrange optimization
Motion estimation
motion estimation and complexity reduction
Optimization
Three-dimensional displays
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Summary: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.
ISSN:2381-8549
DOI:10.1109/ICIP.2017.8297039