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#21 |
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Senior Member
![]() Join Date: Dec 2010
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at that time, the update fixed some audio problems on scene HDTV x264 releases, fixing it by running the file tru mkxtoolnix for example is a pain a butt, yah yah me happy, tho it seems fixing one problem,there's another, playing some music for example...,skipping to another beat.hmm nothing again..no sound..its far from perfect, great software nontheless
![]() dev's with knowledge should join together, doom9 people etc..make it the best and about subs..heh..only for those britisch movies, man great accents..but hard to follow hahah..and yes excuse my french..or bad english..its also far from perfect..ah who's perfect anyway, i guess some are ![]() keep the updates coming..psst..yp..psst hehe
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#22 | |
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Member
![]() Join Date: Apr 2011
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Oh, well then statement retracted.
![]() ************* [ - Post Merged - ] ************* I really don't know how to put this, but I convert SD video to HD and add filters and what not, and it looks better. I understand the difference between lossy and lossless, codec and container, bit and byte, etc. Please explain where I am wrong? https://en.wikipedia.org/wiki/Transcoding https://en.wikipedia.org/wiki/Data_conversion https://en.wikipedia.org/wiki/Lossy_data_conversion https://en.wikipedia.org/wiki/Lossless_data_compression https://en.wikipedia.org/wiki/Data_transformation https://en.wikipedia.org/wiki/Codec https://en.wikipedia.org/wiki/Compar...tainer_formats https://en.wikipedia.org/wiki/Audio_signal_processing https://en.wikipedia.org/wiki/Digital_signal_processing Last edited by vgturtle127; 04-24-2012 at 02:33 AM. |
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#23 | |
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Apprentice
![]() Join Date: Mar 2011
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An explanation
The simple answer is that you can't make something from nothing. The partway answer is that if there is detail between adjacent sample points (i.e. pixels in this case) they will be washed out by any interpolation, smoothing etc. Remember the old analog TV's? You had a sharpness setting. All it did was blur out details so that if the pixellation was bad it smoothed out, or if there was analog noise, it just washed out. The full answer likes in understanding sampling theory that comes from the area of signal processing. The most relevant aspect of it is the Nyquist criterion. This involves a little knowledge of communication theory and a good math background, well beyond simply calculus and differential equations. I am not trying to be pompus here, but if you really want to understand that's where to begin. There are also details of bit-depth, quantization errors, data representation in the time-domain vs. the frequency-domain, and finally compressed sensing, worth understanding, but baby steps would be to understand sampling theory first. In the end, if it looks good to you, it looks good period. Perception is subjective. Numbers are not. Last edited by onix; 04-26-2012 at 09:53 AM. |
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#24 | |
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Member
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