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在数字医学成像上分析DWT-DCT水印算法

Rajkumar Soundrapandiyan1, Kannadasan Rajendiran1, Arunkumar Gurunathan1

  • 1Vellore Institute of Technology, School of Computer Science and Engineering, Vellore, Tamil Nadu, India.

Journal of medical imaging (Bellingham, Wash.)
|January 1, 2024
PubMed
概括

这项研究引入了一种新的多重水印技术,用于安全的临床医学图像传输. 该方法有效地嵌入患者数据,确保图像真实性和数据完整性在数字传输期间.

关键词:
阿诺德转换阿诺德转换离散的等号变换.离散的波形变换.后勤加密加密 后勤加密平均平方误差 平均平方误差医学图像医学图像有多个水标,多个水标.没有兴趣的地区地区.峰值信号与噪声的比率.定量化定量化是什么感兴趣的地区.结构相似性指数的衡量标准是结构相似性指数.齐格扎格排序 排序

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相关概念视频

Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
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Relation of DFT to z-Transform01:20

Relation of DFT to z-Transform

The Discrete Fourier Transform (DFT) is a crucial tool for analyzing the frequency content of discrete-time signals. It converts a sequence of N samples from the time domain into its corresponding sequence in the frequency domain, where each sample represents a specific frequency component.
To understand how the DFT works, it's helpful to consider the z-transform, which is a method for representing discrete sequences in the complex frequency domain. The z-transform involves summing the...
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