Abstract
We demonstrate an iterative adaptive photon-counting compressive imaging system. The low-resolution image obtained from the previous sampling are used to calculate the wavelet coefficients. A method based on multiple micro-mirrors combination is proposed to conduct iterative adaptive sampling on the imaging regions corresponding to important children wavelet coefficients at all levels. In order to reconstruct a better quality image directly with appropriate compression ratio and time and avoid speculative selection of thresholds, an automatic threshold acquisition method based on wavelet entropy is proposed, which can automatically follows the change of the object image to obtain the threshold. The iterative adaptive compressive sensing measurement method based on wavelet entropy automatic threshold acquisition is applied to photon-counting compressive imaging system. Experimental results show that a high resolution image can be reconstructed with low compression ratio and short time in extremely low light environment, the quality of reconstructed images of iterative adaptive compressive sensing measurement is better than that of adaptive basis scan.
Highlights
Single photon detector combined with photon-counting technology can realize photon-counting imaging under extremely weak light environment [1]–[4], which has been widely used in the fields of biomedical imaging, fluorescence lifetime microscopic imaging, multi-spectral imaging [5]–[8], etc
In order to reconstruct a better quality image directly with appropriate compression ratio and time and avoid speculative selection of thresholds, an automatic threshold acquisition method based on wavelet entropy is proposed, which can automatically follows the change of the object image to obtain the threshold
The iterative adaptive compressive sensing measurement method based on wavelet entropy automatic threshold acquisition is applied to photon-counting compressive imaging system
Summary
Single photon detector combined with photon-counting technology can realize photon-counting imaging under extremely weak light environment [1]–[4], which has been widely used in the fields of biomedical imaging, fluorescence lifetime microscopic imaging, multi-spectral imaging [5]–[8], etc. Wen-Kai Yu et al proposed an adaptive compressive ghost imaging method, in which the regions corresponding to important wavelet coefficients are regards as a whole and imaged by applying CS instead of point scanning, and the experimental results show that the number of measurements can be reduced greatly [23]. We propose a method based on multiple micro-mirrors combination to conduct iterative adaptive compressive imaging. In order to reconstruct a better quality image directly with appropriate compression ratio and time, avoid speculative selection of thresholds, we propose an automatic threshold acquisition method based on wavelet entropy. The iterative adaptive compressive sensing measurement method (IACSM) based on wavelet entropy automatic threshold acquisition is applied to photon-counting compressive imaging system
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