{"width":"100%","author_url":"https://blog.hatena.ne.jp/thr3a/","title":"ImageMagick\u3067\u80cc\u666f\u3092\u30ce\u30a4\u30ba\u306b\u3059\u308b","blog_title":"\u52d5\u304b\u3056\u308b\u3053\u3068\u30d0\u30b0\u306e\u5982\u3057","image_url":"https://cdn.jsdelivr.net/gh/thr3a/images@master/3adee04b3f60614be0348b01bccec8fe1146af2bd9f66075fa2477934c4c771d.png","version":"1.0","author_name":"thr3a","blog_url":"https://blog.turai.work/","type":"rich","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","description":"\u74b0\u5883 ImageMagick 6.9 \u3084\u308a\u305f\u3044\u3053\u3068 \u4f8b\u3048\u3070\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u80cc\u666f\u304c\u9752\u8272\u306e\u753b\u50cf\u304c\u3042\u3063\u305f\u3068\u3059\u308b \u305d\u308c\u3092\u3053\u3093\u306a\u611f\u3058\u306b\u3057\u305f\u3044 \u80cc\u666f\u8272\u3092\u30ce\u30a4\u30ba\u4e00\u8272\u306b\u3059\u308b\u3002\u80cc\u666f\u4ee5\u5916\u306b\u306f\u30ce\u30a4\u30ba\u306f\u8f09\u305b\u306a\u3044\u3002 \u30b3\u30de\u30f3\u30c9 \uff11\u767a\u3067\u306f\u3067\u304d\u306a\u3044\u306e\u3067\u8907\u6570\u56de\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3059\u308b # 1. \u5143\u306e\u753b\u50cf\u306e\u9752\u8272\u306e\u90e8\u5206\u3092\u900f\u660e\u306b\u3059\u308b convert input.png -transparent blue transparent_input.png # 2. Gaussian\u30ce\u30a4\u30ba\u3092\u542b\u3080\u80cc\u666f\u753b\u50cf\u3092\u751f\u6210\u3059\u308b convert -size $(identify -format \"%wx%h\" input.png) xc: +noise Gaussi\u2026","url":"https://blog.turai.work/entry/20230427/1682532336","categories":["imagemagick"],"published":"2023-04-27 03:05:36","height":"190","html":""}