{"title":"一种很有前途的节能技术:近似计算","authors":"Junqi Huang, T. Kumar, Haider Abbas","doi":"10.1109/ISCAIE.2018.8405486","DOIUrl":null,"url":null,"abstract":"Approximate computing is introduced as an important low-power technology for image processing in recent years. Since a slight decrease in image quality is normally acceptable by human eyes, approximate computing optimizes design by allowing some tolerable errors and sacrificing some accuracy in the computational process. The reduction of computing complexity can thus contribute to the improvement of circuit energy efficiency. This paper reviews existing approximate techniques in image processing field and classifies them into algorithm level, logic level and circuit level. In addition, this paper analyses and highlights the merits of each technique.","PeriodicalId":333327,"journal":{"name":"2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A promising power-saving technique: Approximate computing\",\"authors\":\"Junqi Huang, T. Kumar, Haider Abbas\",\"doi\":\"10.1109/ISCAIE.2018.8405486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Approximate computing is introduced as an important low-power technology for image processing in recent years. Since a slight decrease in image quality is normally acceptable by human eyes, approximate computing optimizes design by allowing some tolerable errors and sacrificing some accuracy in the computational process. The reduction of computing complexity can thus contribute to the improvement of circuit energy efficiency. This paper reviews existing approximate techniques in image processing field and classifies them into algorithm level, logic level and circuit level. In addition, this paper analyses and highlights the merits of each technique.\",\"PeriodicalId\":333327,\"journal\":{\"name\":\"2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAIE.2018.8405486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2018.8405486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A promising power-saving technique: Approximate computing
Approximate computing is introduced as an important low-power technology for image processing in recent years. Since a slight decrease in image quality is normally acceptable by human eyes, approximate computing optimizes design by allowing some tolerable errors and sacrificing some accuracy in the computational process. The reduction of computing complexity can thus contribute to the improvement of circuit energy efficiency. This paper reviews existing approximate techniques in image processing field and classifies them into algorithm level, logic level and circuit level. In addition, this paper analyses and highlights the merits of each technique.