Paper
31 October 2016 Single-pixel imaging by Hadamard transform and its application for hyperspectral imaging
Yasuhiro Mizutani, Kyuki Shibuya, Hiroki Taguchi, Tetsuo Iwata, Yasuhiro Takaya, Takeshi Yasui
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Abstract
In this paper, we report on comparisons of single-pixel imagings using Hadamard Transform (HT) and the ghost imaging (GI) in the view point of the visibility under weak light conditions. For comparing the two methods, we have discussed about qualities of images based on experimental results and numerical analysis. To detect images by the TH method, we have illuminated the Hadamard-pattern mask and calculated by orthogonal transform. On the other hand, the GH method can detect images by illuminating random patterns and a correlation measurement. For comparing two methods under weak light intensity, we have controlled illuminated intensities of a DMD projector about 0.1 in signal-to-noise ratio. Though a process speed of the HT image was faster then an image via the GI, the GI method has an advantage of detection under weak light condition. An essential difference between the HT and the GI method is discussed about reconstruction process. Finally, we also show a typical application of the single-pixel imaging such as hyperspectral images by using dual-optical frequency combs. An optical setup consists of two fiber lasers, spatial light modulated for generating patten illumination, and a single pixel detector. We are successful to detect hyperspectrul images in a range from 1545 to 1555 nm at 0.01nm resolution.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yasuhiro Mizutani, Kyuki Shibuya, Hiroki Taguchi, Tetsuo Iwata, Yasuhiro Takaya, and Takeshi Yasui "Single-pixel imaging by Hadamard transform and its application for hyperspectral imaging", Proc. SPIE 10021, Optical Design and Testing VII, 100210B (31 October 2016); https://doi.org/10.1117/12.2246311
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Cited by 2 scholarly publications.
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KEYWORDS
Hyperspectral imaging

Signal detection

Sensors

Image processing

Spatial light modulators

Frequency combs

Modulation

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