基于matlab小波的图像压缩技术.zip

上传者: 41782791 | 上传时间: 2022-05-08 01:08:16 | 文件大小: 629KB | 文件类型: ZIP
基于小波变换的图像压缩是对图像应用小波变换算法来进行多分辨率分解,通过对小波系统进行编码来实现图像压缩。首先对图像进行多级小波分解,得到相应的小波系数:然后,对每层小波系数进行量化,得到量化系数对象,最后,对量化后的系数对象进行编码,得到压缩结果。仿真代码亲测可用,有很高的参考价值

文件下载

资源详情

[{"title":"( 20 个子文件 629KB ) 基于matlab小波的图像压缩技术.zip","children":[{"title":"第 15 章 基于小波的图像压缩技术","children":[{"title":"main.m <span style='color:#111;'> 331B </span>","children":null,"spread":false},{"title":"wavedec_process.m <span style='color:#111;'> 507B </span>","children":null,"spread":false},{"title":"plot_wave_coef.m <span style='color:#111;'> 491B </span>","children":null,"spread":false},{"title":"waverec_process.m <span style='color:#111;'> 511B </span>","children":null,"spread":false},{"title":"images","children":[{"title":"lena.TIF <span style='color:#111;'> 260.14KB </span>","children":null,"spread":false},{"title":"cameraman.tif <span style='color:#111;'> 63.71KB </span>","children":null,"spread":false}],"spread":true},{"title":"idwt2_process.m <span style='color:#111;'> 543B </span>","children":null,"spread":false},{"title":"upsample_prcoess.m <span style='color:#111;'> 74B </span>","children":null,"spread":false},{"title":"plot_wave_coef_join.m <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"idwt_process.m <span style='color:#111;'> 485B </span>","children":null,"spread":false},{"title":"output","children":[{"title":"lena_origin.png <span style='color:#111;'> 147.66KB </span>","children":null,"spread":false},{"title":"lena_wave_10.0.png <span style='color:#111;'> 68.75KB </span>","children":null,"spread":false},{"title":"cameraman_wave_10.0.png <span style='color:#111;'> 21.24KB </span>","children":null,"spread":false},{"title":"lena_wave_20.0.png <span style='color:#111;'> 44.82KB </span>","children":null,"spread":false},{"title":"cameraman_origin.png <span style='color:#111;'> 37.37KB </span>","children":null,"spread":false}],"spread":true},{"title":"downsample_prcoess.m <span style='color:#111;'> 100B </span>","children":null,"spread":false},{"title":"dwt_process.m <span style='color:#111;'> 302B </span>","children":null,"spread":false},{"title":"output_img.m <span style='color:#111;'> 641B </span>","children":null,"spread":false},{"title":"PSNR.m <span style='color:#111;'> 311B </span>","children":null,"spread":false},{"title":"dwt2_process.m <span style='color:#111;'> 441B </span>","children":null,"spread":false}],"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