elguaxo
11th December 2008, 14:59
I have a movie and a series with the same problem:
DGDecode_mpeg2source("H:\videos\sample.d2v",info=3)
tfm().tdecimate()
http://img249.imageshack.us/img249/963/tfmtdecimatemarkeddj6.png
screenshot without the red marks:
http://img440.imageshack.us/img440/54/tfmtdecimateuv6.th.png (http://img440.imageshack.us/img440/54/tfmtdecimateuv6.png)
Looking at the "separated fields" I don't think it will be possible to get rid of the moiré like pattern, but maybe somthing can be done about the artifacts introduced in those areas after IVTCing:
DGDecode_mpeg2source("H:\videos\sample.d2v",info=3)
Separatefields()
http://img440.imageshack.us/img440/1374/separatefields1oj2.th.png (http://img440.imageshack.us/img440/1374/separatefields1oj2.png) http://img440.imageshack.us/img440/4028/separatefields2fx6.th.png (http://img440.imageshack.us/img440/4028/separatefields2fx6.png)
VOB sample: http://www.mediafire.com/?sharekey=14594c2ff0954eedd2db6fb9a8902bda
The sample comes from the series. The sample itself is 99.82% FILM, but the whole episode is ~80% FILM, that's why I used tfm().tdecimate().
Any hints? TIA!
DGDecode_mpeg2source("H:\videos\sample.d2v",info=3)
tfm().tdecimate()
http://img249.imageshack.us/img249/963/tfmtdecimatemarkeddj6.png
screenshot without the red marks:
http://img440.imageshack.us/img440/54/tfmtdecimateuv6.th.png (http://img440.imageshack.us/img440/54/tfmtdecimateuv6.png)
Looking at the "separated fields" I don't think it will be possible to get rid of the moiré like pattern, but maybe somthing can be done about the artifacts introduced in those areas after IVTCing:
DGDecode_mpeg2source("H:\videos\sample.d2v",info=3)
Separatefields()
http://img440.imageshack.us/img440/1374/separatefields1oj2.th.png (http://img440.imageshack.us/img440/1374/separatefields1oj2.png) http://img440.imageshack.us/img440/4028/separatefields2fx6.th.png (http://img440.imageshack.us/img440/4028/separatefields2fx6.png)
VOB sample: http://www.mediafire.com/?sharekey=14594c2ff0954eedd2db6fb9a8902bda
The sample comes from the series. The sample itself is 99.82% FILM, but the whole episode is ~80% FILM, that's why I used tfm().tdecimate().
Any hints? TIA!