| dc.description.abstract | An infrared (IR) spectral imaging system is able to provide information on the two-dimensional spatial distribution of the molecular composition of an object, and there has been many applications of such a system, for example food quality analysis. An image of the object in the IR region is commonly taken by a two-dimensional focal plane array (FPA) or a single-point scanning interferometer, but an IR FPA is often expensive, and an interferometer often requires stable environmental conditions; thus, it is harder for an IR spectral imaging system to be commonly applied to applications in daily life.
To overcome these limitations, a system combining a scattering medium and single-pixel imaging technique is set up in our research. After recovering the speckle pattern containing the spatial and spectral information of an object, the spectral image of the object can be reconstructed by deconvolution. To test the feasibility of the system setup, the experiment is carried out in the visible region. After a point light source passes through a scattering medium, the speckle pattern formed in the image plane has the property of memory effect and spectral decorrelation; thus, the spectral image of an object can be recovered by deconvolution after obtaining the speckle image formed by an object in the image plane. The image of a monochromatic object and the spectral image of an object with red, green, and blue colors are successfully recovered by the proposed method in our research. By simulating the process of recovering the speckle image of an object by a system using single-pixel imaging, an image of the monochromatic object is reconstructed by the deconvolution. However, after performing the process of image reconstruction using single-pixel imaging and deconvolution by a real system, it was discovered that the system is unable to recover the image of a monochromatic object. After adding noises into the previous simulation process, we confirmed that the reconstruction of an object’s image is affected by noises in the process of recovering an image. If the intensity of light illuminating the system is higher, or the sensitivity of the detector is improved, it might be possible to improve the signal-to-noise ratio; thus, the effect of noises on the reconstruction of an object’s image can be reduced. | en_US |