Adaptive imaging method used for improving ghost imaging efficiency
An imaging method and ghost imaging technology, applied in image data processing, image data processing, graphic image conversion, etc., can solve problems such as low imaging efficiency, and achieve the effect of improving imaging efficiency and strong versatility
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Embodiment 1
[0031] Such as figure 1 As shown, an adaptive imaging method for improving computational ghost imaging efficiency includes the following steps:
[0032] Step 1. Configure the initialization parameters of the computing ghost imaging system, that is, set the coordinates of the starting point of imaging (x 1 ,y 1 )=(0,0), imaging resolution parameter value m 1 ×n 1 =4×4, binning parameter value b 1 =2. It can also be manually set to other values with prior knowledge.
[0033] Step 2: The spatial light modulator that modulates the light source loads the initialization parameters of the ghost imaging system, and performs the i-th ghost imaging target image sampling, that is, uses the intensity correlation algorithm to combine the total light intensity information collected by the ghost imaging system with the two-dimensional data of the same light source. The light intensity distribution information is calculated, and after M operations, the image information containing the...
Embodiment 2
[0047] Such as figure 1 As shown, an adaptive imaging method for improving the efficiency of classical ghost imaging includes the following steps:
[0048] Step 1. Configure the initialization parameters of the classic ghost imaging system, that is, set the coordinates of the starting point of imaging (x 1 ,y 1 )=(0,0), imaging resolution parameter value m 1 ×n 1 =512×384, pixel binning parameter value b 1 =2. It can also be manually set to other values with prior knowledge.
[0049] Step 2: The CCD image sensor that collects the two-dimensional light intensity distribution information of the light source loads the initialization parameters of the ghost imaging system, and performs the i-th ghost imaging target image sampling, that is, uses the intensity correlation algorithm to combine the total light intensity information collected by the ghost imaging system and The two-dimensional light intensity distribution information of the same light source is calculated, and ...
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