相关实验视频
内容适应性可逆数据隐藏与多阶段预测方案.
Hsiang-Cheh Huang1, Feng-Cheng Chang2, Hong-Yi Li1
1Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung City 811726, Taiwan.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
本研究介绍了一种新的可逆数据隐藏方法,用于物联网 (IoT) 设备中安全的图像通信. 该技术增强了数据安全性和隐私,同时保持了物联网应用的图像质量.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 信息理论 信息理论
背景情况:
- 越来越多地使用物联网 (IoT) 设备,需要强大的方法来保护视觉数据免受网络威胁和生成人工智能的威胁.
- 保护用户隐私,同时确保来自基于传感器的系统的图像数据的可用性,是一个重大挑战.
- 可逆数据隐藏是物联网中安全图像通信的有希望的解决方案,因为它具有可逆性和实施简单性.
研究的目的:
- 开发新的可逆数据隐藏技术,专门设计用于物联网环境中图像的内容特征.
- 为了解决嵌入能力和标记图像的视觉质量之间的权衡问题.
- 提供一种安全有效的方法,在保护隐私的同时将秘密信息嵌入到图像中.
主要方法:
- 利用图像子采样和四树分区来创建与原始图像密切匹配的预测图像.
- 使用原始图像和预测图像之间的差异直方图来嵌入秘密信息.
- 采用多轮旋转技术和多层嵌入策略来增加嵌入能力.
- 动态调整嵌入策略以图像特征使用子采样和四树分解.
主要成果:
- 实现了更好的嵌入性能和石图像的高视觉真实性.
- 实现复杂度较低,使该方法适用于资源有限的物联网设备.
- 根据图像内容验证了基于自适应嵌入策略的有效性.
结论:
- 提出的可逆数据隐藏技术有效平衡了嵌入能力和图像质量.
- 该方法非常适合在资源有限的物联网应用程序中进行安全的图像通信,增强数据真实性和隐私.
- 与传统方法相比,对图像内容特征的动态适应提供了更高的性能.
相关概念视频
Prediction Intervals
3.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.3K
Censoring Survival Data
520
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
520
Survival Tree
383
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
383
Hindsight Biases
4.2K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
4.2K
Multi-input and Multi-variable systems
385
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
In the absence of...
385
Associative Learning
1.2K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
1.2K