哈尔滨工程大学学报2026，Vol.47Issue(4)：760-769,928,11.DOI:10.11990/jheu.202412027
基于帧内压缩的三维图像声呐自适应压缩方法
An adaptive compression method for 3D image sonar based on intra-frame compression
摘要
Abstract
To alleviate the pressure of real-time transmission of image data to the host computer via network proto-cols,an image compression method based on intra-frame compression is proposed.Considering the characteristics of sonar images,the proposed method simplifies the compression process to the luminance channel of 2D slices ex-tracted from 3D volumetric data.Furthermore,by incorporating Human Visual System characteristics,an adaptive quantization scheme based on block activity analysis is implemented.Experimental results indicate that the pro-posed algorithm achieves a compression ratio of 21.3 while maintaining a Peak Signal-to-Noise Ratio of 34.6 dB and a structural imilarity index of 0.91.With a dual-parallel configuration,thereal-time processing rate reaches 30.6 kHz,and the maximum required network bandwidth is 401.1 Mbit/s.While ensuring image quality and real-time performance,the proposed method successfully resolves the transmission bottleneck caused by the massive data volume of 3D sonar systems and limited network bandwidth,providing effective technical support for the real-time application of underwater 3D imaging systems.关键词
三维图像声呐/图像压缩/帧内压缩/人眼视觉特性/区块活动性分析/自适应量化/实时传输/现场可编程门阵列Key words
three-dimensional imaging sonar/image compression/intra-frame compression/human visual sys-tem characteristics/block activity analysis/adaptive quantization/real-time transmission/field-programmable gate array分类
信息技术与安全科学引用本文复制引用
刘祖延,周天,陈宝伟,蔡晟铭..基于帧内压缩的三维图像声呐自适应压缩方法[J].哈尔滨工程大学学报,2026,47(4):760-769,928,11.基金项目
国家自然科学基金项目(U2441254) （U2441254）
黑龙江省自然科学基金项目(TD2025F001). （TD2025F001）
