Image compression algorithm for fuze radome deformation images
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.
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