Suppr超能文献

病理显微图像的信号分析与压缩性能评估

Signal analysis and compression performance evaluation of pathological microscopic images.

作者信息

Okumura A, Suzuki J, Furukawa I, Ono S, Ashihara T

机构信息

NTT Optical Network Systems Laboratories, Kanagawa, Japan.

出版信息

IEEE Trans Med Imaging. 1997 Dec;16(6):701-10. doi: 10.1109/42.650867.

Abstract

Digitizing high-quality microscopic images and developing input/output technology for displaying those results is critical to telepathology in which pathological microscopic images are transferred to remote locations where they are diagnosed by specialists. This paper will discuss the results achieved by directly digitizing (nonfilm process) pathological microscopic images at a 2k x 2k resolution, and then using a super-high-definition imaging system to analyze their signals and evaluate compression performance. We will start off by digitizing samples that a pathologist will actually use in making a diagnosis, and then analyze their color distribution and spatial frequencies characteristics by comparing them to general images. This will make it apparent that such pathological images characteristically contain high spatial frequency in their chrominance components. We will also discuss the evaluation results of color differences for Lab* space and compression ratios achieved when using JPEG to encode pathological images. We will also present a subjective evaluation of the influence subsampling of chrominance components has on image quality.

摘要

将高质量的微观图像数字化,并开发用于显示这些结果的输入/输出技术,对于远程病理学至关重要,在远程病理学中,病理微观图像被传输到远程地点,由专家进行诊断。本文将讨论通过以2k×2k分辨率直接对病理微观图像进行数字化(非胶片过程),然后使用超高清成像系统分析其信号并评估压缩性能所取得的结果。我们将首先对病理学家实际用于诊断的样本进行数字化,然后通过将它们与普通图像进行比较来分析其颜色分布和空间频率特征。这将表明,此类病理图像在其色度分量中典型地包含高空间频率。我们还将讨论在Lab*空间中颜色差异的评估结果,以及使用JPEG对病理图像进行编码时所实现的压缩率。我们还将给出关于色度分量的子采样对图像质量影响的主观评估。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验