斑点图案
多模光纤
光学
人工智能
计算机视觉
光纤
数字微镜装置
迭代重建
散斑噪声
立方体(代数)
图像分辨率
灰度
数字图像处理
忠诚
图像复原
电子工程
数字图像
计算机科学
高保真
图像(数学)
数字图像相关
图像处理
可视化
人类视觉系统模型
传输(电信)
数字成像
图像分割
编码(内存)
图像质量
模式识别(心理学)
作者
Mengyao Zhang,Wei Jin,Jinhua Mou,Shanshan Li,Jiaxing Gao,Cunkai Lou,Yifan Qin,He Zhang,Yu Zhang,Zhihai Liu,Chenxu Wu
标识
DOI:10.1109/jlt.2025.3633646
摘要
High-performance natural scene image transmission via multimode fiber (MMF) represents a substantial challenge. Conventional MMF gray imaging system relies on the visual persistence phenomenon of the digital micromirror device (DMD), causing redundant capture time and loss of bit-depth information. We introduce bit-plane encoding to extract eight speckles from gray targets at different bit-planes, thereby constructing a speckle cube to enrich the captured information. Our self-designed HySpeckNet model enhances the connections among high-dimensional features within speckle cubes. As a result, the average structural similarity index (SSIM) on the ImageNet dataset improves from 0.586 to 0.617, representing a 5.3% increase compared to traditional methods. Notably, gray image reconstruction can be approximately achieved using only two high-order speckles, resulting in a transmission speed about 11.76 times faster than traditional gray image restoration method. Our research sets the stage for the practical transmission of complex image information via MMFs.
科研通智能强力驱动
Strongly Powered by AbleSci AI