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A Review of Image Compressed Sensing in Deep Learning
2020
DEStech Transactions on Engineering and Technology Research
In recent years, deep learning has developed rapidly in the field of image recognition, which provides a new idea for the reconstruction of compressed sensing. The new method based on deep learning can measures the correlation between the measurement signal and the original signal through network , which not only has high reconstruction accuracy, but also significantly reduces the time consuming, showing the great potential of deep learning in the field of compressed sensing reconstruction.
doi:10.12783/dtetr/mcaee2020/35015
fatcat:76cw4vfu7fcafmxtfeqv73kwmq