Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.1K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.8K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
1.8K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Dual-branch Network with Cross-scale Feature Interaction and Alignment for Weakly Supervised Whole Slide Image Analysis.

IEEE journal of biomedical and health informatics·2026
Same author

Decouple, Collaborate, Match: Prototype-Driven Cognitive Mutual Learning for Brain Tumor Segmentation.

IEEE journal of biomedical and health informatics·2026
Same author

Perception-Inspired Network for Stereo Image Quality Assessment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Self-Anchored Progressive Framework With Noise Mitigation for Unsupervised Camouflaged Object Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

KSIQA: A Knowledge-Sharing Model for No-Reference Image Quality Assessment.

IEEE transactions on neural networks and learning systems·2026
Same author

Self-Supervised Unfolding Network With Shared Reflectance Learning for Low-Light Image Enhancement.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

999

以感知为导向的双向注意网络用于图像超分辨率质量评估.

Yixiao Li, Xiaoyuan Yang, Guanghui Yue

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |November 20, 2025
    PubMed
    概括
    此摘要是机器生成的。

    一个新的以感知为导向的双向注意网络 (PBAN) 增强了超分辨率 (SR) 算法的全参考图像质量评估. 这种新的方法通过模仿人类视觉感知来改善SR图像质量的评估.

    更多相关视频

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    727
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    845

    相关实验视频

    Last Updated: Jan 10, 2026

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    999
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    727
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    845

    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 人工智能的人工智能

    背景情况:

    • 超分辨率 (SR) 算法旨在提高图像分辨率.
    • 现有的全参考 (FR) 图像质量评估 (IQA) 指标对于评估SR算法是有限的.

    研究的目的:

    • 为SR算法提出一个新的FR-IQA度量.
    • 开发一个网络,准确评估SR图像的感知质量.

    主要方法:

    • 推出了以感知为导向的双向注意网络 (PBAN),包含三个模块:图像编码器,以感知为导向的双向注意 (PBA) 和质量预测.
    • 构建的PBA模块灵感来自人类视觉系统的特征,结合双向注意力.
    • 利用集成的多尺度可变形卷积和子信息激发卷积用于适应性扭曲感知.

    主要成果:

    • PBAN有效地编码图像用于特征表示.
    • 该PBA模块双向构建视觉注意力扭曲.
    • 实验表明,PBAN的性能优于现有的最先进的质量评估方法.

    结论:

    • PBAN为SR图像FR-IQA提供了一个强大的解决方案.
    • 提出的方法使质量评估与人类对扭曲的感知保持一致.
    • 在评估SR算法输出方面,PBAN表现出卓越的性能.