\ degrained.MCompensate(degrained_super,b3vec,thSAD=thSAD,thSCD1=thSCD1,thSCD2=thSCD2) : NOP \ degrained.MCompensate(degrained_super,b4vec,thSAD=thSAD,thSCD1=thSCD1,thSCD2=thSCD2) : NOP \ degrained.MCompensate(degrained_super,b5vec,thSAD=thSAD,thSCD1=thSCD1,thSCD2=thSCD2) : NOP \ (mdg) ? o.MDegrain1(o_super,b1vec,f1vec,thSAD=mdgthSAD,thSCD1=thSCD1,thSCD2=thSCD2,limit=limit,plane=planes,lsb=true).DitherPost(mode=6) : oĭegrained_super = degrained.MSuper(pel=pel,chroma=chroma,levels=1) \ (tr=2 & mdg) ? o.MDegrain2(o_super,b1vec,f1vec,b2vec,f2vec,thSAD=mdgthSAD,thSCD1=thSCD1,thSCD2=thSCD2,limit=limit,plane=planes,lsb=true).DitherPost(mode=6) : Mdegrained = (tr>=3 & mdg) ? o.MDegrain3(o_super,b1vec,f1vec,b2vec,f2vec,b3vec,f3vec,thSAD=mdgthSAD,thSCD1=thSCD1,thSCD2=thSCD2,limit=limit,plane=planes,lsb=true).DitherPost(mode=6) :
O_super = mdg ? o.MSuper(pel=pel,chroma=chroma,levels=1) : o \ MAnalyse(pp_super,isb=false,search=search,delta=5,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP \ MAnalyse(pp_super,isb=false,search=search,delta=4,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP \ MAnalyse(pp_super,isb=false,search=search,delta=3,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP \ MAnalyse(pp_super,isb=false,search=search,delta=2,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP \ MAnalyse(pp_super,isb=true,search=search,delta=2,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOPī1vec = MAnalyse(pp_super,isb=true, search=search,delta=1,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct)į1vec = MAnalyse(pp_super,isb=false,search=search,delta=1,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) \ MAnalyse(pp_super,isb=true,search=search,delta=3,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP \ MAnalyse(pp_super,isb=true,search=search,delta=4,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP \ MAnalyse(pp_super,isb=true,search=search,delta=5,overlap=overlap,blksize=blksize,truemotion=false,chroma=chroma,dct=dct) : NOP Pp_super = pp.MSuper(pel=pel,chroma=chroma) \ int "thSCD1", int "thSCD2", int "limit", int "blksize", int "pel", int "dct", int "search", bool "lsb") \ float "tbeta", bool "zmean", float "f0beta", int "tr", bool "mdg", int "pp", int "thSAD", int "mdgthSAD", \ int "sbsize", int "smode", int "sosize", int "dither", int "tmode", int "tosize", int "swin", int "twin", float "sbeta", NeatVideo with its profiling I find has a slight edge in terms of speed and from memory can sometimes keep more temporal detail, but the latter script is also very good and has saved me many times in cases where I can't generate a noise profile.Ĭode: function dfttestMCmod (clip input, bool "Y", bool "chroma", int "ftype", float "sigma", float "sigma2", float "pmin", float "pmax", Those two NR solutions are my go-to tools for that kind of content. Source3 = source2.MVDegrain2(backward_vec1,forward_vec1,backward_vec2,forward_vec2,thSAD=400,idx=2) Source2 = maskedmerge(source, smooth, maskf) Maskp4 = mvmask(kind=1, vectors=backward_vec2).UtoY() Maskp3 = mvmask(kind=1, vectors=backward_vec1, ysc=255).UtoY() Maskp2 = mvmask(kind=1, vectors=forward_vec2).UtoY() Maskp1 = mvmask(kind=1, vectors=forward_vec1, ysc=255).UtoY() Pred = source # to get stronger denoising, put denoisers here, they will change how motion vectors are predictedīackward_vec2 = pred.MVAnalyse(isb = true, delta = 2, pel = 2, overlap=4, sharp=2, idx = 1, truemotion=true)īackward_vec1 = pred.MVAnalyse(isb = true, delta = 1, pel = 2, overlap=4, sharp=2, idx = 1, truemotion=true)įorward_vec1 = pred.MVAnalyse(isb = false, delta = 1, pel = 2, overlap=4, sharp=2, idx = 1, truemotion=true)įorward_vec2 = pred.MVAnalyse(isb = false, delta = 2, pel = 2, overlap=4, sharp=2, idx = 1, truemotion=true)
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