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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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一个轻量级的双压缩探测器用于基于编码信息的HEIF图像.

Yoshihisa Furushita1, Marco Fontani2, Stefano Bianchi2

  • 1Department of Information Engineering, University of Florence, 50139 Florence, Italy.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括

本研究引入了一种新的轻量级分类器,用于检测高效图像文件格式 (HEIF) 图像中的双压缩. 该方法准确地识别了双压缩的HEIF图像,克服了以前技术的局限性.

关键词:
这是一个HEIF HEIF.编码鬼魂的时间双压缩的双压缩方式.图像取证医学 图像取证医学

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科学领域:

  • 数字图像的法医研究.
  • 图像压缩分析 图像压缩分析

背景情况:

  • JPEG双压缩检测研究得很好,但HEIF缺乏类似的方法.
  • HEIF提供了缩小文件大小的高图像质量,增加了其采用.
  • 现有的JPEG法医技术与HEIF独特的算法不兼容.

研究的目的:

  • 开发一种检测HEIF图像中双压缩的方法.
  • 通过消除对编码质量参数的限制来扩展之前的工作.
  • 为了创建一个轻量级但准确的HEIF双压缩检测模型.

主要方法:

  • 提出了一个轻量级的图像分类器.
  • 扩展了基于编码鬼魂的先前方法.
  • 设计模型以减少对量子化历史的依赖.

主要成果:

  • 与以前的方法相比,扩展模型显示出更高的性能.
  • 尽管模型的轻量级性质,但实现了出色的检测准确性.
  • 成功启用了双压缩检测,没有严格的质量参数约束.

结论:

  • 拟议的轻量级分类器可以有效地检测HEIF图像中的双压缩.
  • 这种方法推进了HEIF图像法医,提供了一个实际的解决方案.
  • 该方法为识别操纵的HEIF文件提供了一个强大而有效的工具.