引用
APPENDIX A: BlindPP() Notes Table of Contents
Blocks result from the 8x8-pixel DCT used by the MPEG encoder. So first, you must be sure that the blocks that you want to deblock are still aligned at 8-pixel boundaries. That means no cropping and no resizing before you apply BlindPP(). If your source is encoded interlaced, set iPP=true, if it's progressive then the default is already correct (iPP=false).
The parameters are: quant, cpu2, moderate_h, and moderate_v.
quant specifies the overall strength at which the deblocking process is to perform.
Set cpu2 to "xxxxoo" for horizontal and vertical deblocking on luma and chroma, to "xooxoo" for horizontal luma and vertical chroma deblocking, etc. You get the idea.
moderate_h and moderate_v specify the horizontal and vertical sensitivities, that is, where to perform deblocking, and where not to. They control the sensitivity for recognizing that a block is present.
quant=2, moderate_h=35-45, moderate_v=45-55 will give you a very gentle softening on strong, clearly visible blocks only. It will retain very much detail and sharpness, but will also leave intact weaker blocks, and not totally kill stronger ones.
quant=16, moderate_h=15-20, moderate_v=20-30 will perform rather strong deblocking on almost anything that perhaps could be a block, but will also smooth away a lot of detail and sharpness.
The rest is up to you, your taste, and your source material.
One other example... Since the excellent denoiser PixieDust() may sometimes cause blocking by itself in moving areas, I sometimes do this:
PixieDust(2).BlindPP(quant=8, cpu2="xxxxoo", moderate_h=45, moderate_v=55)This takes away a good amount of the most visible blocking, if and only if PixieDust() has produced some. On the remaining 99.8% where PixieDust() didn't block, this will do almost nothing, as desired.
