{"id":2364,"date":"2023-04-18T16:18:21","date_gmt":"2023-04-18T08:18:21","guid":{"rendered":"https:\/\/por.tw\/cht\/?p=2364"},"modified":"2022-02-12T13:14:10","modified_gmt":"2022-02-12T05:14:10","slug":"%e3%80%90%e7%85%a7%e7%89%87%e9%99%8d%e5%99%aa%e9%bb%9e%e3%80%91topaz-denoise-ai-2-2-9-%e5%9f%ba%e6%96%bcai%e6%8a%80%e8%a1%93-%e6%9c%89%e6%95%88%e5%9c%b0%e6%81%a2%e5%be%a9%e7%85%a7%e7%89%87%e4%b8%ad","status":"publish","type":"post","link":"https:\/\/por.tw\/cht\/%e3%80%90%e7%85%a7%e7%89%87%e9%99%8d%e5%99%aa%e9%bb%9e%e3%80%91topaz-denoise-ai-2-2-9-%e5%9f%ba%e6%96%bcai%e6%8a%80%e8%a1%93-%e6%9c%89%e6%95%88%e5%9c%b0%e6%81%a2%e5%be%a9%e7%85%a7%e7%89%87%e4%b8%ad\/","title":{"rendered":"\u3010\u7167\u7247\u964d\u566a\u9ede\u3011Topaz DeNoise AI 2.2.9 \u57fa\u65bcAI\u6280\u8853 \u6709\u6548\u5730\u6062\u5fa9\u7167\u7247\u4e2d\u771f\u5be6\u7684\u7d30\u7bc0"},"content":{"rendered":"

Topaz DeNoise AI \u4e2d\u6587\u6b63\u5f0f\u7248\u662f\u7531topaz\u57fa\u65bcAI\u6280\u8853\u6253\u9020\u7684\u4e00\u6b3e\u7167\u7247\u667a\u80fd\u964d\u566a\u8edf\u4ef6\uff0c\u4f7f\u7528\u9019\u6b3e\u8edf\u4ef6\u53ef\u4ee5\u667a\u80fd\u5316\u5730\u5c0d\u5716\u7247\u7684\u7d30\u7bc0\u9032\u884c\u8655\u7406\u64cd\u4f5c\uff0c\u53ef\u4ee5\u8f15\u9b06\u5c07\u7167\u7247\u7684\u566a\u9ede\u964d\u5230\u6700\u4f4e<\/strong><\/span>
\n\u6709\u4e86\u5b83\u5c31\u53ef\u4ee5\u6709\u6548\u5730\u964d\u4f4e\u7167\u7247\u7684\u8655\u7406\u96e3\u5ea6\u4e86\uff0c\u6709\u6548\u5730\u6062\u5fa9\u7167\u7247\u4e2d\u771f\u5be6\u7684\u7d30\u7bc0\u3002<\/strong><\/span><\/p>\n

\u7a81\u7834\u6027\u7684\u964d\u566a\u6280\u8853\u5df2\u7d93\u5341\u5e74\u4e86\u57fa\u672c\u76f8\u540c\uff0c\u53ea\u662f\u5728\u9019\u91cc\u548c\u90a3\u88e1\u50c5\u6709\u5f88\u5c0f\u7684\u589e\u91cf\u6539\u9032\u3002<\/strong><\/span>
\n\uff08\u6211\u5011\u77e5\u9053\u2013\u6211\u5011\u5275\u9020\u4e86\u4e00\u500b\uff01\uff09DeNoise AI\u6709\u6240\u4e0d\u540c\uff1a\u6211\u5011\u70ba\u7b97\u6cd5\u63d0\u4f9b\u4e86\u6578\u767e\u842c\u500b\u566a\u9ede\/\u6e05\u6670\u5716\u50cf\uff0c\u76f4\u5230\u5b83\u771f\u6b63\u4e86\u89e3\u5230\u4ec0\u9ebc\u662f\u566a\u8072\u4ee5\u53ca\u5982\u4f55\u6700\u597d\u5730\u53bb\u9664\u5b83\u70ba\u6b62\u3002\uff09<\/strong><\/span>
\n\u4e86\u89e3\u4e86\u566a\u8072\u8207\u7d30\u7bc0\u7684\u95dc\u4fc2\u4e4b\u5f8c\uff0c\u90a3\u500b\u7279\u5b9a\u7684\u5716\u50cf\uff0cDeNoise AI\u5f9e\u566a\u97f3\u4e2d\u6062\u5fa9\u4e86\u9a5a\u4eba\u7684\u7d30\u7bc0\u3002<\/strong><\/span><\/p>\n

\u6975\u5927\u7684\u964d\u566a\u6548\u679c\u5c31\u50cf\u93e1\u982d\u5347\u7d1a\u4e00\u6a23\u3002\u7576\u60a8\u62cd\u651d\u5feb\u901f\u52d5\u4f5c\u93e1\u982d\uff0c\u591c\u666f\u5716\u50cf\u6216\u4efb\u4f55\u5176\u4ed6\u9700\u8981\u9ad8ISO\u7684\u60c5\u6cc1\u6642\uff0c\u60a8\u5c07\u7372\u5f97\u66f4\u9ad8\u8cea\u91cf\u7684\u7d50\u679c\u3002\u4f7f\u7528DeNoise AI\u53ef\u4ee5\u5728\u4efb\u4f55\u60c5\u6cc1\u4e0b\u5e6b\u52a9\u60a8\u5275\u5efa\u50cf\u7d20\u5b8c\u7f8e\u7684\u7167\u7247\u3002<\/strong><\/span>
\nDeNoise AI\u6703\u6aa2\u67e5\u6574\u500b\u5716\u50cf\uff0c\u4e26\u5f9e\u6574\u9ad4\u4e0a\u78ba\u5b9a\u8a72\u7167\u7247\u4e2d\u7d30\u7bc0\u548c\u566a\u9ede\u4e4b\u9593\u7684\u5dee\u7570\u3002 \uff08\u5176\u4ed6NR\u5de5\u5177\u50c5\u67e5\u770b\u50cf\u7d20\u7d1a\u7d30\u7bc0\u3002<\/p>\n

\"\"
\n<\/strong><\/span><\/p>\n

\u3010\u7167\u7247\u964d\u566a\u9ede\u3011Topaz DeNoise AI 2.2.9\u7684\u529f\u80fd\uff1a<\/strong><\/span><\/p>\n

\u4ee5\u4e0b\u662f\u5b89\u88ddTopaz DeNoise AI 2.2.9\u5f8c\u53ef\u4ee5\u9ad4\u9a57\u7684\u4e00\u4e9b\u4ee4\u4eba\u9a5a\u5947\u7684\u529f\u80fd\uff0c\u8acb\u8a18\u4f4f\u529f\u80fd\u53ef\u80fd\u6709\u6240\u4e0d\u540c\uff0c\u4e26\u4e14\u5b8c\u5168\u53d6\u6c7a\u65bc\u60a8\u7684\u7cfb\u7d71\u662f\u5426\u652f\u6301\u5b83\u5011\u3002<\/strong><\/span><\/p>\n

\u589e\u5f37\u6e05\u6670\u5ea6\uff1a<\/strong><\/span>
\nDeNoise\u65e8\u5728\u4fdd\u7559\u76e1\u53ef\u80fd\u591a\u7684\u5716\u50cf\u7d30\u7bc0\uff0c\u4e26\u8b93\u60a8\u6709\u6a5f\u6703\u6309\u9810\u671f\u7684\u65b9\u5f0f\u92b3\u5316\u7d30\u7bc0\u4ee5\u7372\u5f97\u6e05\u6670\u6e05\u6670\u7684\u7167\u7247\u3002<\/strong><\/span><\/p>\n

\u6d88\u9664\u8272\u5ea6\u566a\u8072\uff1a<\/strong><\/span>
\n\u8272\u5ea6\u566a\u8072\u5f88\u5bb9\u6613\u8b58\u5225\u70ba\u7167\u7247\u4e0a\u51fa\u73fe\u7684\u90a3\u4e9b\u8a0e\u53ad\u7684\u8272\u6591\u3002\u8272\u5ea6\u6ed1\u584a\u53ef\u8b93\u60a8\u5b9a\u4f4d\u548c\u6d88\u9664\u9019\u7a2e\u7279\u5b9a\u985e\u578b\u7684\u566a\u97f3\u3002<\/strong><\/span><\/p>\n

\u6d88\u9664\u566a\u97f3\u4f46\u4e0d\u6d88\u9664\u7d30\u7bc0\uff1a<\/strong><\/span>
\n\u5716\u50cf\u5728\u4e0b\u96e8\u5929\u62cd\u651d\u7684\uff0cDeNoise AI\u662f\u552f\u4e00\u7d93\u8b49\u5be6\u53ef\u5c07\u96e8\u6c34\u8207\u5716\u50cf\u566a\u8072\u5340\u5206\u958b\u7684\u964d\u566a\u61c9\u7528\u7a0b\u5e8f\uff0c\u53ef\u4ee5\u5c07\u5176\u5c08\u696d\u79fb\u9664\uff0c\u4e26\u4fdd\u7559\u7d30\u7bc0\u3002<\/strong><\/span><\/p>\n

DeNoise AI \u4e0d\u540c\u65bc\u5176\u5b83\u7684\u964d\u566a\u5de5\u5177\u8edf\u4ef6\uff0c\u5b83\u4f7f\u7528\u4e86\u7a81\u7834\u6027\u7684\u4eba\u5de5\u667a\u80fd\u6280\u8853\uff0c\u53ef\u4ee5\u63d0\u4f9b\u4e86\u6578\u767e\u842c\u500b\u566a\u9ede\u8b8a\u6e05\u6670\u5716\u50cf\u7684\u7b97\u6cd5\uff0c\u901a\u904e\u5b78\u7fd2\u76f4\u5230\u8edf\u4ef6\u77e5\u9053\u4e86\u4ec0\u9ebc\u662f\u566a\u9ede\uff0c\u4ee5\u53ca\u5982\u4f55\u6700\u597d\u5730\u53bb\u9664\u566a\u9ede\u3002<\/strong><\/span><\/p>\n

DeNoise AI \u5728\u964d\u566a\u904e\u7a0b\u4e2d\uff0c\u5148\u6aa2\u67e5\u6574\u500b\u5716\u50cf\uff0c\u4e26\u5f9e\u6574\u9ad4\u4e0a\u78ba\u5b9a\u7167\u7247\u4e2d\u7d30\u7bc0\u548c\u566a\u9ede\u4e4b\u9593\u7684\u5dee\u7570\uff0c\u5f9e\u800c\u5206\u8fa8\u51fa\u4ec0\u9ebc\u662f\u566a\u9ede\uff0c\u4ec0\u9ebc\u662f\u5716\u50cf\u7684\u7d30\u7bc0\u3002<\/strong><\/span>
\n\u5728\u77ad\u89e3\u4e86\u7279\u5b9a\u5716\u50cf\u7684\u566a\u8072\u8207\u7d30\u7bc0\u4e4b\u5f8c\uff0cDeNoise AI \u624d\u5f9e\u566a\u9ede\u4e2d\u6062\u5fa9\u4e86\u5927\u91cf\u7167\u7247\u7684\u7d30\u7bc0\u3002<\/strong><\/span><\/p>\n

\u5176\u4ed6\u964d\u566a\u5de5\u5177\u53ea\u95dc\u6ce8\u50cf\u7d20\u7d30\u7bc0\uff0c\u6240\u4ee5\u6703\u5728\u964d\u566a\u904e\u7a0b\u4e2d\u640d\u5931\u7d30\u7bc0\u3002<\/strong><\/span><\/p>\n

\u6709\u4e86DeNoise AI \u964d\u566a\u5de5\u5177\uff0c\u5728\u5f31\u5149\u4e0b\u7528\u9ad8ISO\u611f\u5149\u5ea6\u62cd\u651d\u7684\u7167\u7247\uff0c\u7d93\u904e\u8edf\u4ef6\u964d\u566a\u4ee5\u5f8c\uff0c\u53ef\u4ee5\u9054\u5230\u985e\u4f3c\u65bc\u5347\u7d1a\u4e86\u76f8\u6a5f\u9ad8\u611f\u6027\u80fd\u7684\u6548\u679c\u3002<\/p>\n

\"\"
\n<\/strong><\/span><\/p>\n

\u3010\u7167\u7247\u964d\u566a\u9ede\u3011Topaz DeNoise AI 2.2.9 \u4e3b\u8981\u7279\u8272\uff1a<\/strong><\/span>
\n\u5728\u4efb\u4f55\u5149\u7dda\u4e0b\u62cd\u651d\u4efb\u4f55\u5730\u65b9\uff1a<\/strong><\/span>
\n\u964d\u566a\u6548\u679c\u975e\u5e38\u597d\uff0c\u5c31\u50cf\u93e1\u982d\u5347\u7d1a\u4e00\u6a23\u3002<\/strong><\/span>
\n\u7576\u60a8\u62cd\u651d\u5feb\u901f\u52d5\u4f5c\u93e1\u982d\uff0c\u591c\u9593\u5716\u50cf\u6216\u4efb\u4f55\u5176\u4ed6\u9700\u8981\u9ad8ISO\u7684\u60c5\u6cc1\u6642\uff0c\u60a8\u5c07\u80fd\u5920\u7372\u5f97\u66f4\u9ad8\u8cea\u91cf\u7684\u7d50\u679c\u3002<\/strong><\/span>
\n\u4f7f\u7528DeNoise AI\u53ef\u4ee5\u5e6b\u52a9\u60a8\u5728\u4efb\u4f55\u60c5\u6cc1\u4e0b\u5275\u5efa\u50cf\u7d20\u5b8c\u7f8e\u7684\u7167\u7247\u3002<\/strong><\/span><\/p>\n

\u7a81\u7834\u6027\u7684\u6280\u8853\uff1a\u5341\u5e74\u4f86\uff0c\u964d\u566a\u6280\u8853\u5df2\u7d93\u57fa\u672c\u76f8\u540c\uff0c\u53ea\u662f\u5728\u9019\u88e1\u548c\u90a3\u88e1\u9032\u884c\u4e86\u5fae\u5c0f\u7684\u6f38\u9032\u5f0f\u6539\u9032\u3002 <\/strong><\/span>
\nDeNoise AI\u662f\u4e0d\u540c\u7684\uff1a\u6211\u5011\u63d0\u4f9b\u4e86\u6578\u767e\u842c\u500b\u566a\u8072\/\u6e05\u6670\u5716\u50cf\u7684\u7b97\u6cd5\uff0c\u76f4\u5230\u5b83\u771f\u6b63\u77ad\u89e3\u4e86\u4ec0\u9ebc\u662f\u566a\u8072\u4ee5\u53ca\u5982\u4f55\u6700\u597d\u5730\u53bb\u9664\u5b83\u3002<\/strong><\/span><\/p>\n

\u6062\u5fa9\u771f\u5be6\u7684\u7d30\u7bc0\uff1aDeNoise AI\u6aa2\u67e5\u6574\u500b\u5716\u50cf\u4e26\u5f9e\u6574\u9ad4\u4e0a\u78ba\u5b9a\u8a72\u7167\u7247\u4e2d\u7d30\u7bc0\u548c\u566a\u9ede\u4e4b\u9593\u7684\u5dee\u7570\u3002 <\/strong><\/span>
\n(\u5176\u4ed6NR\u5de5\u5177\u53ea\u95dc\u6ce8\u50cf\u7d20\u7d1a\u7d30\u7bc0\u3002)\u5728\u77ad\u89e3\u4e86\u7279\u5b9a\u5716\u50cf\u7684\u566a\u8072\u8207\u7d30\u7bc0\u4e4b\u5f8c\uff0cDeNoise AI\u5f9e\u566a\u8072\u4e2d\u6062\u5fa9\u4e86\u5927\u91cf\u7d30\u7bc0\u3002<\/strong><\/span><\/p>\n

Lightroom vs DeNoise AI\uff1a\u7576\u60a8\u5728\u7d50\u679c\u4e2d\u9700\u8981\u50cf\u7d20\u7d1a\u5b8c\u7f8e\u6642\uff0cDeNoise AI\u63d0\u4f9b\u7576\u524d\u53ef\u7528\u7684\u7d55\u5c0d\u6700\u4f73\u8cea\u91cf\u3002<\/strong><\/span>
\n\u50cfLightroom\u9019\u6a23\u7684\u73fe\u6709\u964d\u566a\u5de5\u5177\u53ef\u4ee5\u70ba\u60a8\u63d0\u4f9b\u4e00\u500b\u9078\u64c7\uff1a\u4fdd\u6301\u4e00\u4e9b\u566a\u97f3\u6216\u522a\u9664\u4e00\u4e9b\u7d30\u7bc0\u3002 <\/strong><\/span>
\nDeNoise AI\u7684\u6280\u8853\u8b93\u60a8\u53ef\u4ee5\u5145\u5206\u5229\u7528\u9019\u5169\u500b\u65b9\u9762\uff1a\u5728\u5be6\u969b\u52a0\u5f37\u7d30\u7bc0\u7684\u540c\u6642\u6d88\u9664\u566a\u97f3\u3002<\/strong><\/span><\/p>\n

\u3010\u7167\u7247\u964d\u566a\u9ede\u3011Topaz DeNoise AI 2.2.9 \u5b98\u7db2\u4e0b\u8f09\uff1a<\/strong><\/span>
\nhttps:\/\/topazlabs.com\/denoise-ai-2\/<\/strong><\/span><\/a><\/p>\n

\"\"<\/p>\n

Groundbreaking noise reduction technology has basically been the same for a decade, with only minor incremental improvements here and there. (We would know \u2013 we made one!) DeNoise AI is different: we fed an algorithm millions of noisy\/clear images until it actually learned what noise is and how best to remove it.) After understanding what noise vs. detail looks like for that specific image, DeNoise AI recovers a surprising amount of detail from noise.<\/strong><\/span><\/p>\n

Great noise reduction is like a lens upgrade. You\u2019ll be able to get much higher-quality results when you\u2019re shooting fast action shots, night images, or any other situation that requires a high ISO. Use DeNoise AI to help you create a pixel-perfect photo in any situation. DeNoise AI examines the whole image and holistically determines the difference between detail and noise in that photo. (Other NR tools only look at pixel-level detail. <\/strong><\/span>
\nFeatures of Topaz DeNoise AI 2.2.9<\/strong><\/span><\/p>\n

Below are some amazing features you can experience after installation of Topaz DeNoise AI 2.2.9 please keep in mind features may vary and totally depends if your system supports them.<\/strong><\/span><\/p>\n

Enhance Sharpness<\/strong><\/span><\/p>\n

DeNoise aims to preserve as many image details as possible and gives you the opportunity to sharpen detail for a clear and crisp photo, the way you intended it.<\/strong><\/span><\/p>\n

Remove Chroma Noise<\/strong><\/span><\/p>\n

Chroma noise is easily recognized as those pesky color specks appearing across your photo. The Chroma slider allows you to target and remove this specific type of noise.<\/strong><\/span><\/p>\n

Eliminate Noise But Not Detail<\/strong><\/span><\/p>\n

This image was taken during a rainy day and DeNoise AI was the only noise reduction application proven to distinguish rain from image noise, expertly removing it yet retaining the details.<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Topaz DeNoise AI \u4e2d\u6587\u6b63\u5f0f\u7248\u662f\u7531topaz\u57fa\u65bcAI\u6280\u8853\u6253\u9020\u7684\u4e00\u6b3e\u7167\u7247\u667a\u80fd\u964d\u566a\u8edf\u4ef6\uff0c\u4f7f\u7528\u9019\u6b3e\u8edf\u4ef6<\/p>\n<\/div>","protected":false},"author":1,"featured_media":2366,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[34],"class_list":["post-2364","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-38","tag-34"],"_links":{"self":[{"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/posts\/2364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/comments?post=2364"}],"version-history":[{"count":1,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/posts\/2364\/revisions"}],"predecessor-version":[{"id":2368,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/posts\/2364\/revisions\/2368"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/media\/2366"}],"wp:attachment":[{"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/media?parent=2364"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/categories?post=2364"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/por.tw\/cht\/wp-json\/wp\/v2\/tags?post=2364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}