Multispectral Image Compression and Encryption Algorithm Based on Chaos and Fast Wavelet Transform

Table 1. Information entropy comparison
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Table 1. Information entropy comparison
算法信息熵
约瑟夫环算法 10.185 7
AES算法 10.758 4
改进的LOGISTIC算法 11.135 1
本算法 11.794 3

Table 2. Test results of NPCR and UACI
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Table 2. Test results of NPCR and UACI
算法微小明文改变(像素值) NPCR/% UACI/%
算法1^[6] 1 99.60 33.50
算法2^[7] 1 99.62 31.59
本算法 1 99.81 34.19

Table 3. Correlation before and after encryption

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Table 3. Correlation before and after encryption

波段	水平	垂直	对角
波段1原始图像	0.939 6	0.867 9	0.859 1
波段1加密图像	0.415 7	-0.004 7	-0.354 3
波段2原始图像	0.925 4	0.860 3	0.822 7
波段2加密图像	-0.003 2	-0.006 1	-0.253 8
波段3原始图像	0.941 6	0.924 3	0.847 8
波段3加密图像	-0.020 4	-0.000 7	0.318 1

Table 4. Test results of compression system
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Table 4. Test results of compression system
Methods 4∶1 8∶1 16∶1 32∶1
SA-DCT^[8] 48.94 48.02 43.60 39.83
DWT-Tucker^[9] 53.11 50.22 46.85 41.78
ATS^[10] 50.17 45.87 43.36 41.23
JPEG2000^[11] 49.45 48.11 45.07 40.31
Ours 54.15 50.98 47.49 42.40

Table 5. Comparison result of data processing speed
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Table 5. Comparison result of data processing speed
方法吞吐率/(Mpixels·s^-1) 频率/MHz
JPEG2000^[11] 5.52 88
KLT^[12] 9.77 88
DWT-Tucker^[9] 11.26 88
3DSPIHT^[13] 16.04 88
Ours 5.05 88

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Dong-dong XU, Xin YU, Li-min DU, Guo-ling BI. Multispectral Image Compression and Encryption Algorithm Based on Chaos and Fast Wavelet Transform[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2976

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