{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fmoznion.hatenadiary.com%2Fentry%2F20130113%2F1358089453\" title=\"Shipped Math::PSNR (version 0.02) - \u305d\u306e\u624b\u306e\u5e73\u306f\u5c3b\u3082\u3064\u304b\u3081\u308b\u3055\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","url":"https://moznion.hatenadiary.com/entry/20130113/1358089453","author_url":"https://blog.hatena.ne.jp/moznion/","blog_title":"\u305d\u306e\u624b\u306e\u5e73\u306f\u5c3b\u3082\u3064\u304b\u3081\u308b\u3055","width":"100%","author_name":"moznion","provider_url":"https://hatena.blog","description":"Math::PSNR - Calculate PSNR (Peak Signal-to-Noise Ratio) and MSE (Mean Square Error). - metacpan.org I shipped Math::PSNR (v0.02) to CPAN. This module can calculate PSNR (Peak Signal-to-Noise Ratio) and MSE (Mean Squared Error). PSNR and MSE is commonly used to evaluate quality of images. Enjoy!","version":"1.0","image_url":null,"blog_url":"https://moznion.hatenadiary.com/","height":"190","published":"2013-01-13 00:04:13","categories":["perl","cpan"],"provider_name":"Hatena Blog","type":"rich","title":"Shipped Math::PSNR (version 0.02)"}