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按图像比较算法分列的视频编码速率?
原标题:Video-codec rater by image comparison algorithm?

perhaps anyone knows if this is possible. comparing image quality is almost imposible to describe without subjective influences. When someone rates an image quality as good there is at least one person, that doesn t think so. human preferences are always different.

因此,我很想知道,如果在以下问题上将原形象与所生成的形象相比较,那么就没有“估价”图像质量。

  • colour change(difference pixel by pixel
  • blur rate
  • artifacts and macroblocking

the first one would be the easiest one because you could check just the diffeence in colours and can give 3 values in +- of each hex-value both last once I don t know if this is possible, but the blocking could be detected by edge-finding.

国王的追求是,要做到这一点,就更需要一个形象,因为录像是用几个框架进行的。

也许你的专家方案人员可以告诉我,如果能够做到这样自动化,就可以将一些客观的测量结果降低到评级形象的质量。 这也许会使某些赫264人比x264人更平静,比 v8人和布拉瓦人好:

Andreas

http://www.hdtv Total.com/index.php?name=PNBB2&file=viewtopic&p=9705”rel=“nofollow noreferer” http://www.hdtv Total.com/index.php?name=PNphp2&file=viewtopic&p=9705

问题回答

这是一个非常复杂的专题,没有明确的解决办法。 目前,标准测试是在PSNR和主观测试(如MOS。 PSNR决不代表主观质量,而是在任何地方使用。 SSIM本应比国家自然资源和自然资源保护局更接近主观测试,但它仍然不像国家自然资源保护局那样受欢迎。

如果你真心有兴趣了解图像衡量标准(在video <>>>>/em> 度量上没有明确的选择——大部分时间的人平均寿命为PSNR,可以检查JND,除了SSIM和PSNR之外,以及

视频质量专家组(VQEG)对主观和客观评价方法进行了大量研究。 报告、测试顺序、工具等。 可查阅

在我看来,任何值得一提的图像质量自动衡量标准都将纳入下一个压缩算法的修订,使你回到了你们的所在地。





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