Frequency Decomposition and Double-Branch Feature Extraction for Multispectral-Image-Compression Network

Dexiao Xu; Fanqiang Kong; Kun Wang; Xu Fang; Murong Huang

doi:10.3788/CJL240727

Chinese Journal of Lasers, Volume. 51, Issue 21, 2109001(2024)

Frequency Decomposition and Double-Branch Feature Extraction for Multispectral-Image-Compression Network

Dexiao Xu^1、*, Fanqiang Kong¹, Kun Wang², Xu Fang³, and Murong Huang¹

Author Affiliations

¹College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu , China

²The First Military Representative Office of Empty Equipment Stationed in Wuxi, Wuxi 214000, Jiangsu , China

³AVIC Leihua Electronic Technology Institue, Wuxi 214000, Jiangsu , China

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Abstract Get PDF(in Chinese)

Figures & Tables(11)

Fig. 1. Principal network framework

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Fig. 2. Frequency decomposition

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Fig. 3. Frequency synthesis

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Fig. 4. Feature extraction module

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Fig. 5. Comparison results of each evaluation index in 8-band dataset. (a) PSNR; (b) MS-SSIM; (c) MSA

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Fig. 6. Comparison results of each evaluation index in 12-band dataset. (a) PSNR; (b) MS-SSIM; (c) MSA

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Fig. 7. Detail comparison of different methods for 8-band dataset. (a) Original image; (b) proposed method; (c) DBSSFE; (d) VCC; (e) JPEG2000

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Fig. 8. Detail comparison of different methods for 12-band dataset. (a) Original image; (b) proposed method; (c) DBSSFE; (d) VCC; (e) JPEG2000

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Table 1. Test data for each method in 8-band dataset at 0.223, 0.304, and 0.429 three bit rates

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Table 1. Test data for each method in 8-band dataset at 0.223, 0.304, and 0.429 three bit rates

Method	PSNR /dB			MS-SSIM /dB			MSA /rad
JPEG2000	31.320	32.170	33.930	15.770	17.850	19.390	0.05789	0.05159	0.04709
3D-SPHIT	33.810	35.090	37.150	14.010	15.420	17.130	0.07165	0.06188	0.05488
VCC	38.030	40.340	42.530	20.530	22.650	24.320	0.04203	0.03295	0.02663
Joint	40.670	41.530	42.020	24.290	25.120	25.300	0.02992	0.02944	0.02827
DBSSFE	39.240	41.390	42.450	23.030	23.840	24.900	0.03125	0.03050	0.28730
Proposed	41.030	42.680	43.650	24.670	25.820	26.760	0.02887	0.02641	0.02504

Table 2. Test data for each method in 12-band dataset at 0.223, 0.304, and 0.429 three bit rates

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Table 2. Test data for each method in 12-band dataset at 0.223, 0.304, and 0.429 three bit rates

Method	PSNR /dB			MS-SSIM /dB			MSA /rad
JPEG2000	52.120	55.850	56.450	26.370	31.270	32.950	0.08076	0.05645	0.05176
3D-SPHIT	53.220	56.540	57.290	28.040	32.400	34.220	0.07001	0.05045	0.04206
VCC	57.020	59.870	61.050	32.610	36.170	37.610	0.05253	0.04006	0.03571
Joint	60.050	61.890	62.740	36.020	38.520	39.360	0.03983	0.02963	0.02679
DBSSFE	58.150	61.000	61.250	35.050	37.110	37.530	0.05086	0.03953	0.03868
Proposed	60.680	63.580	64.260	36.590	39.940	40.340	0.03527	0.02561	0.02501

Table 3. Encoding and decoding time test data of each method

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Table 3. Encoding and decoding time test data of each method

Method	Encode time /ms	Decode time /ms	Method	Encode time /ms		Decode time /ms
Method	Encode time /ms	Decode time /ms	Method	CPU	GPU	CPU	GPU
JPEG2000	247.3	187.7	Joint	1961.3	–	5780.8	–
3D-SPHIT	1481.4	758.1	DBSSFE	2391.8	1644.5	2236.7	196.3
VVC	1816.2	907.8	Proposed	2548.3	133.4	10559.7	108.3

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Dexiao Xu, Fanqiang Kong, Kun Wang, Xu Fang, Murong Huang. Frequency Decomposition and Double-Branch Feature Extraction for Multispectral-Image-Compression Network[J]. Chinese Journal of Lasers, 2024, 51(21): 2109001

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Paper Information

Category: holography and information processing

Received: Apr. 1, 2024

Accepted: Jun. 11, 2024

Published Online: Oct. 29, 2024

The Author Email:

DOI:10.3788/CJL240727

CSTR:32183.14.CJL240727

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology