{"title":"Image algebra: an object oriented approach to transparently concurrent image processing","authors":"I. Angus","doi":"10.1109/SHPCC.1992.232694","DOIUrl":null,"url":null,"abstract":"The image algebra formalism provides a succinct high level algebraic method of describing many image processing algorithms. By exploiting this formalism it is possible to map the mathematical algorithms, for which pixel level parallelism is transparent, into C++ computer code which can be portable across all MIMD, SIMD, and sequential architectures. The advantage of this method is that complex image processing algorithms can now be prototyped and tested on any machine and then safely migrated directly to parallel machines without any demands being placed upon the user by issues such as parallelism and data decomposition.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHPCC.1992.232694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The image algebra formalism provides a succinct high level algebraic method of describing many image processing algorithms. By exploiting this formalism it is possible to map the mathematical algorithms, for which pixel level parallelism is transparent, into C++ computer code which can be portable across all MIMD, SIMD, and sequential architectures. The advantage of this method is that complex image processing algorithms can now be prototyped and tested on any machine and then safely migrated directly to parallel machines without any demands being placed upon the user by issues such as parallelism and data decomposition.<>
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