High Bit-Depth Seismic Data Compression: A Novel Codec Under the Framework of HEVC
High Bit-Depth Seismic Data Compression: A Novel Codec Under the Framework of HEVC
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DOI：
10.1109/access.2020.3003682
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发表时间：
2020-06
期刊：
影响因子：
3.9
通讯作者：
Miloš Radosavljević;Zixiang Xiong;Ligang Lu;D. Hohl;D. Vukobratović
中科院分区：
文献类型：
--
作者：
Miloš Radosavljević;Zixiang Xiong;Ligang Lu;D. Hohl;D. Vukobratović
受高效视频编码（HEVC）的出色性能的激励，并由地震调查产生的数据量的快速增长驱动，在这项工作中，我们探索了HEVC编解码器的每个像素（B/P）扩展的32位，以进行压缩。地震数据。我们建议以一种与视频信号相对应的格式重新组装地震切片，并受益于HEVC Inter模式获得的编码增益，除了（still Image）HEVC Intra模式的可能优势。为此，我们修改了原始HEVC编解码器的几乎所有组件，以适应地震数据的高度深度编码：用于优化编码参数的Lagrange乘法器已适应了新的数据统计信息，核心转换和量化已成为新的数据统计信息重新进化以处理增加的位深度范围，并且已使用改良的自适应二进制算术编码器进行有效的熵编码。即使实施提出的修改后的新编解码器超出了标准化的HEVC，但它仍然保持通用的HEVC结构，并且是在一般HEVC框架下开发的。因此，我们为特定的编解码器设计定制，与JPEG-XR和基于商业小波的编解码器相比，该设计可显着改善峰值信号到噪声比率（PSNR）与压缩比的32 b/p/p/p seismist的压缩比性能数据。根据配置，PSNR增益从3.39 dB到9.48 dB。此外，依靠地震数据的特定特征，我们提出了一个优化的编码器，该编码器将编码时间降低了67.17％，用于在跟踪图像数据集上为ALL-I配置减少67.39％，为All-I，为97.96％，P2-Configuration和98.64％和98.64％对于3D Wavefield数据集上的B构型，具有可忽略的编码性能损失。
Motivated by the superior performance of High Efficiency Video Coding (HEVC), and driven by the rapid growth in data volume produced by seismic surveys, in this work we explore a 32 bits per pixel (b/p) extension of the HEVC codec for compression of seismic data. We propose to reassemble seismic slices in a format that corresponds to video signal and benefit from the coding gain achieved by HEVC inter mode, besides the possible advantages of the (still image) HEVC intra mode. To this end, we modify almost all components of the original HEVC codec to cater for high bit-depth coding of seismic data: Lagrange multiplier used in optimization of the coding parameters has been adapted to the new data statistics, core transform and quantization have been reimplemented to handle the increased bit-depth range, and modified adaptive binary arithmetic coder has been employed for efficient entropy coding. Even though the new codec after implementation of the proposed modifications goes beyond the standardized HEVC, it still maintains a generic HEVC structure, and it is developed under the general HEVC framework. Thus, we tailored a specific codec design which, when compared to the JPEG-XR and commercial wavelet-based codec, significantly improves the peak-signal-to-noise-ratio (PSNR) vs. compression ratio performance for 32 b/p seismic data. Depending on a configuration, PSNR gain goes from 3.39 dB up to 9.48 dB. Also, relying on the specific characteristics of seismic data, we proposed an optimized encoder that reduces encoding time by 67.17% for All-I configuration on trace image dataset, and 67.39% for All-I, 97.96% for P2-configuration and 98.64% for B-configuration on 3D wavefield dataset, with negligible coding performance losses.