https://blog.youkuaiyun.com/Redeomzh-cnhttps://blog.youkuaiyun.com/https://blog.youkuaiyun.com/Redeom/article/details/133911659https://blog.youkuaiyun.com/Redeom/article/details/133911659RedeomWed, 18 Oct 2023 18:03:29 +0800https://blog.youkuaiyun.com/Redeom/article/details/127282206https://blog.youkuaiyun.com/Redeom/article/details/127282206RedeomWed, 12 Oct 2022 14:31:49 +0800https://blog.youkuaiyun.com/Redeom/article/details/127282077https://blog.youkuaiyun.com/Redeom/article/details/127282077RedeomWed, 12 Oct 2022 14:29:06 +0800https://blog.youkuaiyun.com/Redeom/article/details/124507463https://blog.youkuaiyun.com/Redeom/article/details/124507463RedeomSat, 30 Apr 2022 01:13:38 +0800https://blog.youkuaiyun.com/Redeom/article/details/103327762https://blog.youkuaiyun.com/Redeom/article/details/103327762RedeomSat, 30 Nov 2019 18:56:00 +0800https://blog.youkuaiyun.com/Redeom/article/details/87887823https://blog.youkuaiyun.com/Redeom/article/details/87887823RedeomSat, 23 Feb 2019 00:36:53 +0800https://blog.youkuaiyun.com/Redeom/article/details/87462482https://blog.youkuaiyun.com/Redeom/article/details/87462482RedeomSat, 16 Feb 2019 18:12:43 +0800https://blog.youkuaiyun.com/Redeom/article/details/83503681https://blog.youkuaiyun.com/Redeom/article/details/83503681RedeomMon, 29 Oct 2018 11:53:02 +0800https://blog.youkuaiyun.com/Redeom/article/details/54441979https://blog.youkuaiyun.com/Redeom/article/details/54441979RedeomSun, 15 Jan 2017 04:00:43 +0800https://blog.youkuaiyun.com/Redeom/article/details/19020845https://blog.youkuaiyun.com/Redeom/article/details/19020845RedeomSun, 09 Feb 2014 23:04:57 +0800https://blog.youkuaiyun.com/Redeom/article/details/14444625https://blog.youkuaiyun.com/Redeom/article/details/14444625RedeomFri, 08 Nov 2013 14:51:54 +0800https://blog.youkuaiyun.com/Redeom/article/details/14410645https://blog.youkuaiyun.com/Redeom/article/details/14410645RedeomWed, 06 Nov 2013 21:29:30 +0800https://blog.youkuaiyun.com/Redeom/article/details/8207417https://blog.youkuaiyun.com/Redeom/article/details/8207417RedeomWed, 21 Nov 2012 12:35:35 +0800https://blog.youkuaiyun.com/Redeom/article/details/8207370https://blog.youkuaiyun.com/Redeom/article/details/8207370RedeomWed, 21 Nov 2012 12:22:07 +0800https://blog.youkuaiyun.com/Redeom/article/details/8207362https://blog.youkuaiyun.com/Redeom/article/details/8207362RedeomWed, 21 Nov 2012 12:17:10 +0800https://blog.youkuaiyun.com/Redeom/article/details/8207354https://blog.youkuaiyun.com/Redeom/article/details/8207354RedeomWed, 21 Nov 2012 12:12:55 +0800https://blog.youkuaiyun.com/Redeom/article/details/8207324https://blog.youkuaiyun.com/Redeom/article/details/8207324RedeomWed, 21 Nov 2012 11:59:54 +0800https://blog.youkuaiyun.com/Redeom/article/details/8207289https://blog.youkuaiyun.com/Redeom/article/details/8207289RedeomWed, 21 Nov 2012 11:54:01 +0800https://blog.youkuaiyun.com/Redeom/article/details/5938830https://blog.youkuaiyun.com/Redeom/article/details/5938830RedeomWed, 13 Oct 2010 17:17:00 +0800图形图像处理－之－高质量的快速的图像缩放 上篇 近邻取样插值和其速度优化
                     HouSisong@263.net   2006.11.22
(2007.01.02更新)

tag:图像缩放、速度优化、定点数优化、近邻取样插值、二次线性插值、三次线性插值、
   MipMap链、三次卷积插值、MMX/SSE优化、CPU缓存优化
摘要:首先给出一个基本的图像缩放算法，然后一步一步的优化其速度和缩放质量]]>https://blog.youkuaiyun.com/Redeom/article/details/5196335https://blog.youkuaiyun.com/Redeom/article/details/5196335RedeomFri, 15 Jan 2010 23:28:00 +0800