提出首个针对全片扫描图像的无损压缩框架，显著降低存储成本。
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
- 分层编码提取有效比特，降低图像熵值
- 字典方法处理不规则频次模式，平均压缩比达36倍，最高136倍
- 专为高分辨率病理图像设计，适合医学影像存储场景
全片扫描图像（WSI）通过提供组织切片的高分辨率图像，革新了医学分析。尽管避免了实体切片的物理存储，但WSI数据量巨大，导致存储与维护成本高昂且不可持续。为此，本文首次系统研究了WSI图像的无损压缩。我们发现，现有压缩方法大多无法有效压缩WSI图像，主要原因在于其信息分布的不规则性。为此，我们提出一种名为WISE的简单而高效的无损压缩器，专为WSI设计。该方法采用分层编码策略提取有效比特，降低图像熵，再利用基于字典的方法处理不规则的频率模式。大量实验表明，WISE可将吉像素级的WSI图像平均压缩36倍，最高可达136倍。
原文摘要 · Abstract (English)
Whole-Slide Images (WSIs) have revolutionized medical analysis by presenting high-resolution images of the whole tissue slide. Despite avoiding the physical storage of the slides, WSIs require considerable data volume, which makes the storage and maintenance of WSI records costly and unsustainable. To this end, this work presents the first investigation of lossless compression of WSI images. Interestingly, we find that most existing compression methods fail to compress the WSI images effectively. Furthermore, our analysis reveals that the failure of existing compressors is mainly due to information irregularity in WSI images. To resolve this issue, we developed a simple yet effective lossless compressor called WISE, specifically designed for WSI images. WISE employs a hierarchical encoding strategy to extract effective bits, reducing the entropy of the image and then adopting a dictionary-based method to handle the irregular frequency patterns. Through extensive experiments, we show that WISE can effectively compress the gigapixel WSI images to 36 times on average and up to 136 times.
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