基于推扫式的动态互补压缩成像方法

doi:10.13229/j.cnki.jdxbgxb.20241379

Abstract

Abstract:

When a traditional single-pixel compressive imaging system obtains measurement values， if the relative placement of the foreground target and imaging system is not static， the reconstructed image is blurred or completely distorted. To solve this problem， a dynamic complementary compressive imaging method based on a complementary mode is proposed. In this method， a single-column digital micro-mirror device is used to modulate the foreground image， two independent single-pixel sensors are used to obtain two optical signals reflected by the digital micro-mirror device， and the compressive measurement values of the foreground target image are obtained column by column， using the recovery mode of the dynamic compressive imaging is obtained；then based on this recovery mode， the traditional algorithm reconstructs the target image. In contrast to the results of traditional reconstruction， the results of each optical channel can be used to reconstruct two target images simultaneously. To improve the quality of the reconstruct image， this paper presents a quality enhancement method based on multi-channel image fusion. The results of simulation experiments show that the proposed dynamic complementary compressive imaging system not only can effectively reconstruct the foreground image， but the quality of the output image is not affected when the moving speed of the system changes within a certain range， demonstrating the good robustness of the system.

Key words: compressive sensing, dynamic compressive imaging, image quality enhancement, overlapping average algorithm

CLC Number:

TP751.1

Chang-jun ZHA,Kai-xing TAO,Yue LIU,Mao-yu ZHAO,Hai-yan DONG. Dynamic complementary compressive imaging method based on push-sweep mode[J].Journal of Jilin University(Engineering and Technology Edition), 2025, 55(4): 1436-1442.

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图像大小	成像方法	PSNR/dB
图像大小	成像方法	M=70	M=80	M=90	M=100
128× 128	传统成像方法	17.631 6	17.714 5	18.138 5	19.091 3
	光路1的上部	17.880 3	18.224 2	19.282 8	20.145 4
	光路1的下部	15.944 6	16.024 1	16.798 2	18.177 4
	光路2的上部	17.906 1	18.231 6	19.556 8	20.305 7
	光路2的下部	15.639 9	16.180 2	17.089 5	18.281 5
	图像融合	19.506 1	19.958 5	21.111 6	22.169 5

Dynamic complementary compressive imaging method based on push-sweep mode

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