光学精密工程2024，Vol.32Issue(20)：3112-3126,15.DOI:10.37188/OPE.20243220.3112
面向引信天线罩形变图像的图像压缩算法
Image compression algorithm for fuze radome deformation images
摘要
Abstract
To realize the transmission of fuze radome deformation images under low bandwidth condition of the missile-borne telemetry radio,an image compression algorithm with high-quality compressed imag-es,low algorithmic complexity and easy to implement in hardware was proposed.The 9/7M wavelet ba-sis recommended by the Consultative Committee for Space Data Systems(CCSDS)was used to decom-pose the image at four levels,thereby reducing data redundancy.The traditional weight allocation strategy was improved according to the image characteristics to reduce the distortion information,ensuring the qual-ity of the reconstructed image.A parallel pixel scanning approach was adopted,which significantly re-duced the time associated with the multi-resolution tree-structured partitioning in Set Partitioning In Hierar-chical Trees(SPIHT).Furthermore,for the specific features of the images,an enhanced Run-Length En-coding(RLE)algorithm was introduced,the image data classification method was optimized,achieving increased overall compression ratios without compromising image quality.Experimental results show that in comparison with SPIHT and CCSDS standards,the proposed algorithm achieves 6.92%,16.45%and 11.12%,22.56%increases in Structural Similarity Index(SSIM)and Peak Signal-to-Noise Ratio(PSNR),respectively,while the compression time increases by only 0.06 s compared with SPIHT,and the increase in algorithmic complexity is not much.Compared with the mainstream image compression al-gorithms,under the same compression multiplier,this algorithm compresses the fuze radome deformation images with similar compressed image quality as the JPEG2000 algorithm,but the compression time sav-ing is up to 35.35%.In summary,the algorithm has the characteristics of low complexity,its compres-sion performance can meet the compression requirements of the ballistic system,and the decompression image quality reaches the level of mainstream algorithms.关键词
图像压缩/引信天线罩形变图像/多级树集合分裂编码/游程编码/低带宽传输Key words
image compression/fuze radome deformation images/Set Partitioning in Hierarchical Trees(SPIHT)/Run-Length Encoding(RLE)/low-bandwidth transmission分类
计算机与自动化引用本文复制引用
张浩洋,王凡,邵森木,田会,陈瑞..面向引信天线罩形变图像的图像压缩算法[J].光学精密工程,2024,32(20):3112-3126,15.基金项目
陕西省自然科学基金(No.2023-JC-QN-0679) （No.2023-JC-QN-0679）
陕西省教育厅重点科研计划项目(No.22JY027) （No.22JY027）
