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Dual-domain mean-reverting diffusion model-enhanced temporal compressive coherent diffraction imaging
DOI:10.1364/OE.517567.png)
摘要
En 中文
Temporal compressive coherent diffraction imaging is a lensless imaging technique with the capability to capture fast-moving small objects. However, the accuracy of imaging reconstruction is often hindered by the loss of frequency domain information, a critical factor limiting the quality of the reconstructed images. To improve the quality of these reconstructed images, a method dual -domain mean -reverting diffusion model -enhanced temporal compressive coherent diffraction imaging (DMDTC) has been introduced. DMDTC leverages the meanreverting diffusion model to acquire prior information in both frequency and spatial domain through sample learning. The frequency domain mean -reverting diffusion model is employed to recover missing information, while hybrid input-output algorithm is carried out to reconstruct the spatial domain image. The spatial domain mean -reverting diffusion model is utilized for denoising and image restoration. DMDTC has demonstrated a significant enhancement in the quality of the reconstructed images. The results indicate that the structural similarity and peak signal-to-noise ratio of images reconstructed by DMDTC surpass those obtained through conventional methods. DMDTC enables high temporal frame rates and high spatial resolution in coherent diffraction imaging.
Keyword:
MICROSCOPY
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
机构
引用论文
The response of rectangular piezoelectric sensors to Rayleigh and Lamb ultrasonic waves矩形压电传感器对瑞利和兰姆超声波的响应
Dual-domain mean-reverting diffusion model-enhanced temporal compressive coherent diffraction imaging
OPTICS EXPRESS
IF3.3

