- 标题
- 摘要
- 关键词
- 实验方案
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Real-time coherent diffraction inversion using deep generative networks
摘要： Phase retrieval, or the process of recovering phase information in reciprocal space to reconstruct images from measured intensity alone, is the underlying basis to a variety of imaging applications including coherent diffraction imaging (CDI). Typical phase retrieval algorithms are iterative in nature, and hence, are time-consuming and computationally expensive, making real-time imaging a challenge. Furthermore, iterative phase retrieval algorithms struggle to converge to the correct solution especially in the presence of strong phase structures. In this work, we demonstrate the training and testing of CDI NN, a pair of deep deconvolutional networks trained to predict structure and phase in real space of a 2D object from its corresponding far-field diffraction intensities alone. Once trained, CDI NN can invert a diffraction pattern to an image within a few milliseconds of compute time on a standard desktop machine, opening the door to real-time imaging.
关键词： phase retrieval,deep learning,coherent diffraction imaging,real-time imaging,neural networks
更新于2025-09-10 09:29:36
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Multi-Core DSP Based Parallel Architecture for FMCW SAR Real-Time Imaging
摘要： This paper presents an e?cient parallel processing architecture using multi-core Digital Signal Processor (DSP) to improve the capability of real-time imaging for Frequency Modulated Continuous Wave Synthetic Aperture Radar (FMCW SAR). With the application of the proposed processing architecture, the imaging algorithm is modularized, and each module is e?ciently realized by the proposed processing architecture. In each module, the data processing of di?erent cores is executed in parallel, also the data transmission and data processing of each core are synchronously carried out, so that the processing time for SAR imaging is reduced signi?cantly. Speci?cally, the time of corner turning operation, which is very time-consuming, is ignored under computationally intensive case. The proposed parallel architecture is applied to a compact Ku-band FMCW SAR prototype to achieve real-time imageries with 34 cm × 51 cm (range × azimuth) resolution.
关键词： real-time imaging,FMCW SAR,Parallel processing,multi-core DSP
更新于2025-09-04 15:30:14