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引用 最初由 Douglas·Kaien 发布同Q值转换……你用jpg连续保存3次85%质量看看就知道同Q值转换是个什么结果了……
引用 最初由 AceXtra 发布什么叫无损转换,无损q要等于0的说...
引用 最初由dgwxx发布PEG Quant........................................... H264 Quant (实际Q值) ........(理论计算Q值).......... (测试显示Q值)........1 ...............13.406791521822............... 13 ........2 ...............19.406791521822 ...............19 ........3 ...............22.916566526149 ...............23 ........4 ...............25.406791521822 ...............25 ........5 ...............27.338360091146 ...............27 ........6............... 28.916566526149 ...............29 ........7 ...............30.250921054168 ...............30 ........8 ...............31.406791521822 ...............31 ........9 ...............32.426341530476 ...............32 .......10 ..............33.338360091146 ...............33 .......11 ..............34.163381233646 ...............34 .......12 ..............34.916566526149 ...............35 .......13 ..............35.609429830669 ...............36 .......14 ..............36.250921054168 ...............36 .......15 ..............36.848135095473 ...............37 .......16 ..............37.406791521822............... 37 .......17 ..............37.931568569324 ...............38 .......18 ..............38.426341530476 ...............38 .......19 ..............38.894356602484 ...............39 .......20 ..............39.338360091146 ...............39 .......21 ..............39.760696058495............... 40 .......22 ..............40.163381233646 ...............40 .......23 ..............40.548163258164............... 41 .......24 ..............40.916566526149 ...............41 .......25 ..............41.26992866047 .................41 .......26 ..............41.609429830669 ...............42 .......27 ..............41.936116534803 ...............42 .......28 ..............42.250921054168 ...............42 .......29 ..............42.554677492588 ...............43 .......30 ..............42.848135095473 ...............43 .......31.............. 43.131969384143 ...............43
引用 QP(H264) =12.0 + 6.0 * log(qscale/0.85) / log(2.0) = 12.0 +6.0 * log2(qscale/0.85)