Advancements in Lossless and Reversible Compression of Digital Pathology Images via Auto-Recursive Set Partitioning in Hierarchical Trees and Wavelet Decomposition
Goh Jee Yuan, Afzan Adam, Mohammad Kamrul Hasan, Z. Alyasseri, Mohammad Faizal Ahmad Fauzi, Elaine Wan Ling Chan
{"title":"Advancements in Lossless and Reversible Compression of Digital Pathology Images via Auto-Recursive Set Partitioning in Hierarchical Trees and Wavelet Decomposition","authors":"Goh Jee Yuan, Afzan Adam, Mohammad Kamrul Hasan, Z. Alyasseri, Mohammad Faizal Ahmad Fauzi, Elaine Wan Ling Chan","doi":"10.18280/ts.400632","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49430,"journal":{"name":"Traitement Du Signal","volume":" 72","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Traitement Du Signal","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.18280/ts.400632","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
