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Full-resolution and full-dynamic-range coded aperture compressive temporal imaging
DOI:10.1364/OL.499735.png)
摘要
En 中文
Coded aperture compressive temporal imaging (CACTI) aims to capture a sequence of video frames in a single shot, using an off-the-shelf 2D sensor. This approach effectively increases the frame rate of the sensor while reducing data throughput requirements. However, previous CACTI sys-tems have encountered challenges such as limited spatial resolution and a narrow dynamic range, primarily resulting from suboptimal optical modulation and sampling schemes. In this Letter, we present a highly efficient CACTI system that addresses these challenges by employing precise one-to-one pixel mapping between the sensor and modulator, while using structural gray scale masks instead of binary masks. Moreover, we develop a hybrid convolutional-Transformer deep network for accurate reconstruction of the captured frames. Both simulated and real data experiments demon-strate the superiority of our proposed system over previous approaches, exhibiting significant improvements in terms of spatial resolution and dynamic range.(c) 2023 Optica Pub-lishing Group
期刊
IF:
3.3
论文数:
4.0W
被引数:
7.6W
机构
引用论文
Coded aperture compressive temporal imaging using complementary codes and untrained neural networks for high-quality reconstruction
OPTICS LETTERS
IF3.3
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