{"title":"Сonfluent多光谱图像迭代逼近中粗化误差的区域填充","authors":"M. V. Gashnikov","doi":"10.3103/S1060992X25700171","DOIUrl":null,"url":null,"abstract":"<p>The paper investigates an iterative approximation-based method of compressing discrete multispectral images. Less thinned multispectral images are used to approximate more thinned ones, the degree of thinning decreasing in an iterrative fashion. When a set of thinned multispectral images is used, the data redundency is eliminated by using nonredundant nested covers consisted of specially reduced thinned images. Approximation errors are rounded and stored. The paper considers an algorithm of detection and effective representation of degenerate subsets of rounded iterative approximation errors. The algotithm allows more efficient representation of rounded error subsets and higher data compression ratios. The computational experiment confirms a considerable increase in efficiency of the iterative approximation-based method of discrete multispectral data compression.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"358 - 363"},"PeriodicalIF":0.8000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Сonfluent Regions Packing of Coarsened Errors for Iterative Approximation of Multispectral Images\",\"authors\":\"M. V. Gashnikov\",\"doi\":\"10.3103/S1060992X25700171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The paper investigates an iterative approximation-based method of compressing discrete multispectral images. Less thinned multispectral images are used to approximate more thinned ones, the degree of thinning decreasing in an iterrative fashion. When a set of thinned multispectral images is used, the data redundency is eliminated by using nonredundant nested covers consisted of specially reduced thinned images. Approximation errors are rounded and stored. The paper considers an algorithm of detection and effective representation of degenerate subsets of rounded iterative approximation errors. The algotithm allows more efficient representation of rounded error subsets and higher data compression ratios. The computational experiment confirms a considerable increase in efficiency of the iterative approximation-based method of discrete multispectral data compression.</p>\",\"PeriodicalId\":721,\"journal\":{\"name\":\"Optical Memory and Neural Networks\",\"volume\":\"34 3\",\"pages\":\"358 - 363\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Memory and Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S1060992X25700171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X25700171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
Сonfluent Regions Packing of Coarsened Errors for Iterative Approximation of Multispectral Images
The paper investigates an iterative approximation-based method of compressing discrete multispectral images. Less thinned multispectral images are used to approximate more thinned ones, the degree of thinning decreasing in an iterrative fashion. When a set of thinned multispectral images is used, the data redundency is eliminated by using nonredundant nested covers consisted of specially reduced thinned images. Approximation errors are rounded and stored. The paper considers an algorithm of detection and effective representation of degenerate subsets of rounded iterative approximation errors. The algotithm allows more efficient representation of rounded error subsets and higher data compression ratios. The computational experiment confirms a considerable increase in efficiency of the iterative approximation-based method of discrete multispectral data compression.
期刊介绍：
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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