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相关概念视频

Reversible and Irreversible Processes01:14

Reversible and Irreversible Processes

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The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
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Masking and Demasking Agents01:19

Masking and Demasking Agents

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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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Censoring Survival Data01:09

Censoring Survival Data

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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...
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Blinding01:11

Blinding

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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相关实验视频

Updated: Jul 25, 2025

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
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基于预测错误的可逆数据隐藏方案在加密图像中使用块标记和封面图像预处理.

Shaiju Panchikkil1, V M Manikandan1

  • 1SRM University-AP, Andhra Pradesh, India.

Multimedia tools and applications
|June 26, 2023
PubMed
概括

这项研究引入了一种用于加密医疗图像的新型可逆数据隐藏 (RDH) 方案. 该方法确保高质量的图像恢复,这对于准确的远程医疗诊断至关重要.

科学领域:

  • 数字通信 数字通信
  • 医学成像技术 医学成像技术
  • 信息安全信息安全.

背景情况:

  • 数字化正在迅速改变沟通和医疗保健的提供.
  • 远程医疗和电子医疗服务出现了显著的增长,特别是在COVID-19大流行期间.
  • 医疗图像的安全和准确传输对于可靠的诊断至关重要.

研究的目的:

  • 为加密医疗图像提出一个新的可逆数据隐藏 (RDH) 方案.
  • 为了实现高嵌入能力,同时确保恢复的医疗图像的完整性和质量.
  • 提高数字医疗保健系统中医疗图像传输的安全性和效率.

主要方法:

  • 为加密图像开发了一个基于错误的最重要的比特 (MSB) 预测RDH方案.
  • 用双模式 (向右和向下) 的蛇扫描方法来选择最佳的嵌入速率.
  • 多个MSB用于嵌入加密的个人健康记录 (PHR) 数据,利用预测错误.

主要成果:

  • 拟议的方案实现了高质量的图像恢复,峰值信号噪声比 (PSNR) 和结构相似度指数 (SSIM) 为1.
  • 展示了高嵌入速率,在16位DICOM图像中超过每像素3位 (bpp),在自然图像中超过1bpp.
  • 实验结果显示,与现有的最先进的RDH方法相比,性能优越.
关键词:
高品质的DICOM图像,提供高质量的DICOM图像.医疗图像传输 医疗图像传输预测错误策略 预测错误策略可逆的数据隐藏方式蛇扫描可以扫描蛇.

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结论:

  • 开发的MSB预测基于错误的RDH方案为安全和高容量的医疗图像传输提供了有前途的解决方案.
  • 该方法确保了医疗图像的完整性,这对于远程医疗的准确远程诊断至关重要.
  • 这项研究有助于在不断变化的数字医疗环境中推进安全数据隐藏技术.