Video snapshot compressive imaging using residual ensemble network IEEE Trans. Circuits Syst. Video Technol., 32 (9) (2022), pp. 5931-5943 CrossrefView in ScopusGoogle Scholar [54] S. Jalali, X. Yuan Compressive imaging via one-shot measurements 2018 IEEE International Symposium on Information...
However, high pattern modulation rates lead to noisy measurements which will get more severe when it comes to spectral imaging. Therefore, reconstruction quality would be one of the key problems to tackle for such systems if realized. In the deep learning reconstruction for experimental data, the ...
State-of-the-art works have proposed the fusion of HS and MS images from compressed measurements26,27,28,29. These works assume that the light intensity from the target scene splits into two imaging systems, which independently encode the scene with a spatial light modulator (SLM) or digital...
scene1.mat |--scene2.mat : |--scene30.mat |--KAIST_CVPR2021 |--1.mat |--2.mat : |--30.mat |--TSA_simu_data |--mask.mat |--Truth |--scene01.mat |--scene02.mat : |--scene10.mat |--TSA_real_data |--mask.mat |--Measurements |--scene1.mat |--scene2.mat : |-...
performed subsequent computer vision tasks, but neglected the video property of the measurements, which attenuated the advantages of SCI in high-throughput highspeed imaging. Hu et al. further extended this work by proposing VODS, i.e., video object detection from one single coded image through ...
This offers the potential to substantially improve efficiency and may provide a framework for planetary geologists to image subsurface structures with fewer measurements while retaining key structural information. Building upon its successful applications in biomedical imaging (Lustig et al., 2007), ...
Using our system we image slices via snapshot measurements for four different detector configurations and compare their results.Mehadi HassanAndrew HolmgrenJoel A. GreenbergIkenna OdinakaDavid BradyDepartment of Electrical and Computer Engineering, Duke University, Durham, N.C. 27708;Department of ...
under amplitude optical encoding and frame sweeping modalities in a passive imaging mode that is capable of reconstructing 1400 frames from a single shot image acquisition and achieves the highest compression ratio of 368 compared to the other compressive sensing (CS) based single-shot imaging ...
Once the simulated measurements have been made, we perform the TVAL3 algorithm (equation 3) via MATLAB with μ = 69.3 (primary penalty parameter), β = 96 (secondary penalty parameter) and a tolerance of 10−6. We then repeat the process 100 times using different, random sensing...
measurements by learning the binary elements of the sensing matrix. The decoder is trained to map the measurements from a video patch back to a video block via several hidden layers of a Multi-LayerPerceptronnetwork. The predicted video blocks are stacked together to recover the unknown video ...