Compressed sensing measurement matrix optimization method and system based on automatic encoder network
An automatic encoder and measurement matrix technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as the single efficiency of measurement matrix, and achieve the effect of improving overall reconstruction quality, high image quality, and image quality improvement.
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[0035] In order to make the above-mentioned features and effects of the present invention more clear and understandable, the following specific examples are given together with the accompanying drawings for detailed description as follows.
[0036] The present invention makes a new design for the measurement matrix used in the compressed sensing sampling process, and uses the automatic encoder network training, wherein the pictures involved in the training data can come from any gallery, and this embodiment only uses images from Kulkarni K, Lohit S, Turaga P, et al.ReconNet:Non-Iterative Reconstruction of Images fromCompressively Sensed Measurements[J].2016:449-458The 91 pictures used are for the purpose of comparing with the existing technology to demonstrate the technical effect of the present invention .
[0037] The overall network training is divided into 2 steps:
[0038] 1) The autoencoder network implements sampling and preliminary reconstruction, starting from figur...
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