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Focusing is the important process to obtain the clear target images in the imaging system.
However, the practical applications of PDs (for example, in imaging) require large number of pixels to construct target images.
Rather than storing hundreds of target images in conventional, power-hungry electronic memory, they used a holographic memory.
Then this is applied to the holographic memory, which contains transformed target images, each written into the memory using a different reference beam.
The pixel size is these target images is 5 cm.
The research focuses on reconstructing target images of drainage pipes embedded in concrete pavement.
The deep learning solutions, however, heavily rely on labeling target images for their reliability and accuracy.
This method is able to manipulate target images with close spectral characteristics.
For the third block (24 trials), Gaussian noise was added to novel target images.
Thus, if target images contain uniform and simple textures, the methods can perform accurate inpainting.
A larger set of 40000 synthetic target images are used to test the classifier.
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