Advancements in Lossless and Reversible Compression of Digital Pathology Images via Auto-Recursive Set Partitioning in Hierarchical Trees and Wavelet Decomposition

IF 1.2 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Traitement Du Signal Pub Date : 2023-12-30 DOI:10.18280/ts.400632

Goh Jee Yuan, Afzan Adam, Mohammad Kamrul Hasan, Z. Alyasseri, Mohammad Faizal Ahmad Fauzi, Elaine Wan Ling Chan

引用次数: 0

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通过层次树和小波分解中的自动递归集分割实现数字病理图像无损和可逆压缩的进展

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Traitement Du Signal 工程技术-工程：电子与电气

自引率

21.10%

发文量

162

审稿时长

>12 weeks

期刊介绍： The TS provides rapid dissemination of original research in the field of signal processing, imaging and visioning. Since its founding in 1984, the journal has published articles that present original research results of a fundamental, methodological or applied nature. The editorial board welcomes articles on the latest and most promising results of academic research, including both theoretical results and case studies. The TS welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to: Signal processing Imaging Visioning Control Filtering Compression Data transmission Noise reduction Deconvolution Prediction Identification Classification.