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Old 04-21-2012   #21
haz367
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Thumbs up oh..quotes..

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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Old 04-24-2012   #22
vgturtle127
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Unhappy

Originally Posted by bamsebiffen View Post
Yeah but my tv-remote is broken
Oh, well then statement retracted.
************* [ - Post Merged - ] *************
Originally Posted by onix View Post
"Increase in quality"?? LOL, your ignorance is blinding. I would also be impressed if you had something erudite to say about MP4 -let's hear it.
I'm sorry, I retracted the error about MP4 in the last post (if you read the edits). And as for MY ignorance, converting anything gives you better quality. If I convert a 1x1 GIF to a 2x2 GIF then I can see it better. Quality enhanced.

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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Old 04-24-2012   #23
onix
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An explanation

Originally Posted by vgturtle127 View Post
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?
OK. Well thanks for asking. I appreciate your humility. First I think those links leave a lot of important details out, and to a casual observer lots of things would go missed.

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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Old 04-28-2012   #24
vgturtle127
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Talking

Originally Posted by onix View Post
OK. Well thanks for asking. I appreciate your humility. First I think those links leave a lot of important details out, and to a casual observer lots of things would go missed.

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.
I guess it also depends on the device your wanting to convert it to, and how it's rendered, etc. SO many factors. I was just talking about taking a video and putting it through FormatFactory or something. What I have also done is edited really old VHS rips and turned them into decent quality using algorithmic enhancement software (I call it that, but the guy who made it was using it to render 3D models, Lol), adding data where data is left with a hex editor, then decide if the changes were good. It takes a long time, the software costs more than any consumer would pay, and the method takes days/weeks/months depending, but it does significantly decrease noise, and I can upconvert anything I want after. The creating something out of nothing is true, some things you just have to get a higher resolution starting point. Anyway, I was just saying.
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