基于K-SVD算法的图像去噪算法的matlab仿真+含代码操作演示视频

上传者: ccsss22 | 上传时间: 2022-05-12 09:11:18 | 文件大小: 7.29MB | 文件类型: RAR
基于K-SVD算法的图像去噪算法的matlab仿真+含代码操作演示视频 运行注意事项:使用matlab2021a或者更高版本测试,运行里面的Runme.m文件,不要直接运行子函数文件。运行时注意matlab左侧的当前文件夹窗口必须是当前工程所在路径。 具体可观看提供的操作录像视频跟着操作。

文件下载

资源详情

[{"title":"( 27 个子文件 7.29MB ) 基于K-SVD算法的图像去噪算法的matlab仿真+含代码操作演示视频","children":[{"title":"peppers256.png <span style='color:#111;'> 39.24KB </span>","children":null,"spread":false},{"title":"Runme1.m <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"11.gif <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"func","children":[{"title":"denoiseImageGlobal.m <span style='color:#111;'> 5.90KB </span>","children":null,"spread":false},{"title":"denoiseImageDCT.m <span style='color:#111;'> 5.30KB </span>","children":null,"spread":false},{"title":"Choose_Patterns.m <span style='color:#111;'> 310B </span>","children":null,"spread":false},{"title":"CreateDataFromDictionarySimple.m <span style='color:#111;'> 685B </span>","children":null,"spread":false},{"title":"KSVD_NN.m <span style='color:#111;'> 11.31KB </span>","children":null,"spread":false},{"title":"displayDictionaryElementsAsImage.m <span style='color:#111;'> 3.15KB </span>","children":null,"spread":false},{"title":"denoiseImageKSVD.m <span style='color:#111;'> 9.49KB </span>","children":null,"spread":false},{"title":"OMP.m <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"OMPerr.m <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"my_im2col.m <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"KSVD.m <span style='color:#111;'> 12.93KB </span>","children":null,"spread":false},{"title":"calcNoiseFromSNR.m <span style='color:#111;'> 406B </span>","children":null,"spread":false},{"title":"gererateSyntheticDictionaryAndData.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"MOD.m <span style='color:#111;'> 7.86KB </span>","children":null,"spread":false},{"title":"NN_BP.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false}],"spread":false},{"title":"boat.png <span style='color:#111;'> 173.60KB </span>","children":null,"spread":false},{"title":"操作录像0003.avi <span style='color:#111;'> 211.63MB </span>","children":null,"spread":false},{"title":"lena.png <span style='color:#111;'> 147.66KB </span>","children":null,"spread":false},{"title":"barbara.png <span style='color:#111;'> 181.37KB </span>","children":null,"spread":false},{"title":"house.png <span style='color:#111;'> 34.17KB </span>","children":null,"spread":false},{"title":"fpga&matlab.txt <span style='color:#111;'> 17B </span>","children":null,"spread":false},{"title":"globalTrainedDictionary.mat <span style='color:#111;'> 5.48MB </span>","children":null,"spread":false},{"title":"Runme2.m <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false},{"title":"Runme3.m <span style='color:#111;'> 6.90KB </span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明