插入和播放高频功能增强用于植物图像超分辨率
Ling Xu1, Bin Qiu2, Huijun Xu1
1Department of Computer and Information Security Management, Fujian Police College, Fuzhou, China.
Frontiers in plant science
|December 11, 2025
概括
一个新的高频特征增强 (HF-FE) 模块通过恢复细节来提高植物图像超分辨率 (SR). 这一进步通过增强的植物传感和可持续的作物管理来支持精准农业和数字农业.
科学领域:
- 植物科学 植物科学
- 计算机视觉 计算机视觉
- 数字农业 数字农业
背景情况:
- 高分辨率的植物图像对于表型,疾病监测和精准农业至关重要.
- 由于传感器的局限性和环境噪音,现有的超分辨率 (SR) 方法在低质量的植物图像中难以恢复重要的细结构细节.
研究的目的:
- 引入一款新的Plug-and-Play高频特征增强 (HF-FE) 模块,用于提高植物图像超分辨率.
- 为了增强细微植物特征的重建,如叶片和病变边界.
主要方法:
- 开发了一个HF-FE模块,旨在无地集成到现有的SR架构中.
- 评估了模块在各种植物数据集上的性能,包括棕油,水生植物 (AqUAVPlant) 和作物疾病图像 (Plant Pathology 2020).
主要成果:
- 在所有测试的数据集中,使用HF-FE模块的模型表现出与最新基线相比的持续改进.
- 在峰值信号与噪声比率 (PSNR) 和结构相似度指数 (SSIM) 中观察到显著的增长.
- 视觉分析证实了植物图像中细结构特征的增强清晰度.
结论:
- HF-FE模块提供了一种有效和灵活的策略,用于增强植物形象SR.
- 改进的图像保真度支持更准确的植物可视化和分析.
- 这种进步有助于智能植物传感,数字农业和可持续的作物管理.
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