{"title":"共轭梯度法去除脉冲噪声图像的丰富公式","authors":"Basim A. Hassan, Ali Ahmed A. Abdullah","doi":"10.1080/02522667.2022.2122199","DOIUrl":null,"url":null,"abstract":"Abstract The formula conjugate is usually the focal point in conjugate gradient techniques. In this paper, the Perry’s conjugacy condition and quadratic model are used to derive a new coefficient conjugate for the conjugate gradient technique, which is used to solve picture restoration issues. The algorithms show global convergence and have the required descent property. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"2065 - 2074"},"PeriodicalIF":1.1000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enriched formulas to conjugate gradient method for removing impulse noise images\",\"authors\":\"Basim A. Hassan, Ali Ahmed A. Abdullah\",\"doi\":\"10.1080/02522667.2022.2122199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The formula conjugate is usually the focal point in conjugate gradient techniques. In this paper, the Perry’s conjugacy condition and quadratic model are used to derive a new coefficient conjugate for the conjugate gradient technique, which is used to solve picture restoration issues. The algorithms show global convergence and have the required descent property. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method.\",\"PeriodicalId\":46518,\"journal\":{\"name\":\"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES\",\"volume\":\"43 1\",\"pages\":\"2065 - 2074\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02522667.2022.2122199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02522667.2022.2122199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Enriched formulas to conjugate gradient method for removing impulse noise images
Abstract The formula conjugate is usually the focal point in conjugate gradient techniques. In this paper, the Perry’s conjugacy condition and quadratic model are used to derive a new coefficient conjugate for the conjugate gradient technique, which is used to solve picture restoration issues. The algorithms show global convergence and have the required descent property. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method.