{"id":3451,"date":"2022-01-04T19:05:31","date_gmt":"2022-01-04T11:05:31","guid":{"rendered":"https:\/\/www.hh-ri.com\/?p=3451"},"modified":"2022-01-19T17:09:36","modified_gmt":"2022-01-19T09:09:36","slug":"%e5%af%a6%e9%a9%97%e7%b5%90%e6%9e%9c%e8%a1%a8%e6%98%8e%ef%bc%8c%e6%88%91%e5%80%91%e6%89%80%e6%8f%90%e5%87%ba%e7%9a%84-dda-srgan-%e8%83%bd%e5%a4%a0%e5%ad%b8%e7%bf%92%e9%97%9c%e9%8d%b5%e5%8d%80%e5%9f%9f","status":"publish","type":"post","link":"https:\/\/www.hh-ri.com\/2022\/01\/04\/%e5%af%a6%e9%a9%97%e7%b5%90%e6%9e%9c%e8%a1%a8%e6%98%8e%ef%bc%8c%e6%88%91%e5%80%91%e6%89%80%e6%8f%90%e5%87%ba%e7%9a%84-dda-srgan-%e8%83%bd%e5%a4%a0%e5%ad%b8%e7%bf%92%e9%97%9c%e9%8d%b5%e5%8d%80%e5%9f%9f\/","title":{"rendered":"\u5be6\u9a57\u7d50\u679c\u8868\u660e\uff0c\u6211\u5011\u6240\u63d0\u51fa\u7684 DDA-SRGAN \u80fd\u5920\u5b78\u7fd2\u95dc\u9375\u5340\u57df\u7684\u7279\u5fb5\u7d30\u7bc0"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<div class=\"wp-block-group alignfull is-layout-flow wp-block-group-is-layout-flow\"><div class=\"wp-block-group__inner-container\">\n<h3 class=\"has-text-align-center has-huge-font-size wp-block-heading\"><strong>Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution<\/strong><\/h3>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><strong>Chi-En Huang, Yung-Hui Li, Muhammad Saqlain Aslam and Ching-Chun Chang<\/strong><\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>\u6458\u8981<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\">\u5728<strong>\u7269\u806f\u7db2\uff08IoT\uff09<\/strong>\u548c\u96f2\u8a08\u7b97\u7684\u74b0\u5883\u4e2d\u5b58\u5728\u591a\u7a2e\u985e\u578b\u7684\u667a\u6167\u5b89\u5168\u611f\u6e2c\u5668\u3002\u5176\u4e2d\uff0c\u7528\u65bc\u751f\u7269\u8fa8\u8b58\u7684\u611f\u6e2c\u5668\u662f\u6700\u91cd\u8981\u7684\u985e\u578b\u4e4b\u4e00\u3002\u751f\u7269\u8fa8\u8b58\u611f\u6e2c\u5668\u6355\u6349\u4e00\u500b\u4eba\u7684\u751f\u7406\u6216\u884c\u70ba\u7279\u5fb5\uff0c\u9019\u4e9b\u7279\u5fb5\u53ef\u4ee5\u901a\u904e\u96f2\u8a08\u7b97\u9032\u4e00\u6b65\u8655\u7406\u4ee5\u4fbf\u7528\u6236\u7684\u9a57\u8b49\u3002\u7136\u800c\u5728\u751f\u7269\u8fa8\u8b58\u4e2d\uff0c<strong>\u4f4e\u89e3\u6790\u5ea6 (LR)<\/strong> \u5f71\u50cf\u6703\u5c0e\u81f4\u7279\u5fb5\u7d30\u7bc0\u7684\u7f3a\u5931\u8207\u8fa8\u8b58\u7387\u7684\u964d\u4f4e\u3002\u6b64\u5916\uff0c\u89e3\u6790\u5ea6\u5331\u4e4f\u6703\u5c0d\u57fa\u65bc\u5f71\u50cf\u800c\u9032\u884c\u751f\u7269\u8fa8\u8b58\u7684\u6027\u80fd\u7522\u751f\u8ca0\u9762\u5f71\u97ff\u3002<\/p>\n\n\n\n<p class=\"has-medium-font-size\">\u7136\u800c\uff0c\u5f9e\u61c9\u7528\u7684\u89d2\u5ea6\u4f86\u770b\uff0c\u5927\u591a\u6578\u7269\u806f\u7db2\u8a2d\u5099\u90fd\u53d7\u5230\u786c\u9ad4\u9650\u5236\uff0c\u9ad8\u6210\u672c\u8a2d\u5099\u53ef\u80fd\u7121\u6cd5\u6eff\u8db3\u5404\u7a2e\u8981\u6c42\uff0c\u5c24\u5176\u662f\u5c0d\u5f71\u50cf\u89e3\u6790\u5ea6\u7684\u8981\u6c42\uff0c\u56e0\u70ba\u5b83\u9700\u8981\u984d\u5916\u7684\u5b58\u5132\u7a7a\u9593\u4f86\u5b58\u5132<strong>\u9ad8\u89e3\u6790\u5ea6\uff08HR\uff09<\/strong>\u5f71\u50cf\uff0c\u4ee5\u53ca\u9ad8\u983b\u5bec\u4f86\u50b3\u8f38\u9ad8\u89e3\u6790\u5ea6\u5f71\u50cf\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u5728\u4e0d\u4f7f\u7528\u6602\u8cb4\u4e14\u9ad8\u6210\u672c\u7684\u5716\u50cf\u611f\u6e2c\u5668\u7684\u60c5\u6cc1\u4e0b\uff0c\u5be6\u73fe\u751f\u7269\u8b58\u5225\u7cfb\u7d71\u7684\u9ad8\u7cbe\u5ea6\u662f\u667a\u6167\u5b89\u9632\u611f\u6e2c\u5668\u9818\u57df\u4e2d\u4e00\u500b\u6709\u50f9\u503c\u7684\u8b70\u984c\u3002<\/p>\n\n\n\n<p class=\"has-medium-font-size\">\u5728\u672c\u6587\u4e2d\uff0c\u6211\u5011\u63d0\u51fa\u4e86 <strong>DDA-SRGAN<\/strong>\uff0c\u5b83\u662f\u4e00\u7a2e\u4f7f\u7528\u4e8c\u7dad\u6ce8\u610f\u529b\u6a5f\u5236\u7684\u57fa\u65bc<strong>\u751f\u6210\u5c0d\u6297\u7db2\u7d61 (GAN)<\/strong> \u7684<strong>\u8d85\u89e3\u6790\u5ea6 (SR)<\/strong> \u6846\u67b6\u3002\u53ef\u4ee5\u8a13\u7df4\u6240\u63d0\u51fa\u7684\u6a21\u578b\u4ee5\u5728\u4f4e\u89e3\u6790\u5716\u50cf\u4e2d\u81ea\u52d5\u767c\u73fe<strong>\u611f\u8208\u8da3\u5340\u57df (ROI)<\/strong>\uff0c\u800c\u7121\u9700\u4efb\u4f55\u7d66\u5b9a\u7684\u5148\u9a57\u77e5\u8b58\u3002\u5be6\u9a57\u662f\u5728 <strong>CASIA-Thousand-v4<\/strong> \u548c <strong>CelebA<\/strong> \u6578\u64da\u96c6\u4e0a\u9032\u884c\u7684\u3002\u5be6\u9a57\u7d50\u679c\u8868\u660e\uff0c\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u80fd\u5920\u5b78\u7fd2\u95dc\u9375\u5340\u57df\u7684\u7279\u5fb5\u7d30\u7bc0\uff0c\u4e26\u5728\u5927\u591a\u6578\u60c5\u6cc1\u4e0b\u7372\u5f97\u66f4\u597d\u7684\u6027\u80fd\u3002<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Super-Resolution Generative Adversarial Network Based o [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":3452,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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