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Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays
Both simulations and experiments were conducted to demonstrate the capabilities of the proposed framework.
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network
Optical coherence tomography (OCT) has stimulated a wide range of medical image-based diagnosis and treatment in fields such as cardiology and ophthalmology.
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
In particular, we propose to use a convolutional neural network (CNN) to learn the cutoff frequency of real-world degradation process.
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