RE: filmscanners: Noise correction algorithms

2001-05-01 Thread Lynn Allen
-times better than one a machine decides for itself. Best regards--LRA --Original Message-- From: "Oostrom, Jerry" <[EMAIL PROTECTED]> To: "'[EMAIL PROTECTED]'" <[EMAIL PROTECTED]> Sent: May 1, 2001 7:16:12 AM GMT Subject: RE: filmscanners: Noi

Re: filmscanners: Noise correction algorithms

2001-05-01 Thread Nimous
I have used a HP s20 myself, and I found this feature very useful. > I noticed that the HP S20 software was able to paint e.g. in red all pixels > that were being clipped by current histogram mapping settings. To me this > seemed a handy feature, but no other software took over that idea.

RE: filmscanners: Noise correction algorithms

2001-05-01 Thread Oostrom, Jerry
Beautiful reply with masterful selection of original text serves to prove your and my point! ;-) > -Original Message- > From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED]] > Sent: Tuesday, May 01, 2001 10:34 AM > To: [EMAIL PROTECTED] > Subject: Re: filmscanners: N

Re: filmscanners: Noise correction algorithms

2001-05-01 Thread EdHamrick
In a message dated 5/1/2001 5:06:45 AM EST, [EMAIL PROTECTED] writes: > Ed, if you're listening, when are you going to at least tell us > you're *thinking about* separating the grain reduction and dust/scratch > algorithms? :) I haven't thought about the implications of this yet. I'm up to

RE: filmscanners: Noise correction algorithms

2001-05-01 Thread Mark T.
At 09:16 AM 1/05/01 +0200, Jerry wrote: >.. >I noticed that the HP S20 software was able to paint e.g. in red all pixels >that were being clipped by current histogram mapping settings. To me this >seemed a handy feature, but no other software took over that idea. >It seems that if you can show the

Re: filmscanners: Noise correction algorithms

2001-05-01 Thread EdHamrick
In a message dated 5/1/2001 2:20:15 AM EST, [EMAIL PROTECTED] writes: > This reminded me that I should put only one question in a mail (ironically > that was even Ed's suggestion to me, even longer ago), Yes, this maximizes the chances that someone will answer the question. I learned long ago

RE: filmscanners: Noise correction algorithms

2001-05-01 Thread Oostrom, Jerry
I already asked this question to Ed and later to this list, all some time ago. Ed replied that his algorithms were "of course" already doing such a thing. Then I asked, where can you set the threshold on black (slides) or white (negs) for what is considered to be dust and waited... (no answer to t

RE: filmscanners: Noise correction algorithms

2001-04-29 Thread Ryan K. Brooks
. Fire up an old copy of qbasic or something; this stuff is pretty easy to mess around with. -R http://www.photo.net/photodb/folder?folder_id=115567 -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]On Behalf Of Lynn Allen Sent: Sunday, April 29, 2001 10:36 AM To: [EMAI

Re: filmscanners: Noise correction algorithms

2001-04-29 Thread shAf
Lynn Allen writes ... > Ryan wrote: > > > How does a computer know that the blue in your > > picture is from the sky? Or that the red in your > > picture is a sunset and not a sportscar? :-) > > ... > > I believe it has to do with matrixes, which I don't pretend to understand, > on the programmi

Re: filmscanners: Noise correction algorithms

2001-04-29 Thread Lynn Allen
Ryan wrote: >How does a computer know that the blue in your picture is from the sky? Or that the red in your picture is a sunset and not a sportscar? :-) I'll give a serious answer to a humorous question--if I may deviate from my usual pathways. ;-) I believe it has to do with matrixes, which

Re: filmscanners: Noise correction algorithms

2001-04-28 Thread Rob Geraghty
"Lynn Allen" <[EMAIL PROTECTED]> wrote: > Since dust is always "white" on negs and always "black" on slides, while > "noise" is usually lighter and "grain" is usually darker than the > surrounding field of pixels, is this or can it be considered in the cleaning > algorithms? If you could characte

Re: filmscanners: Noise correction algorithms

2001-04-28 Thread Ryan Brooks
> This suddenly seems so obvious as I experience the problems more, and I > wonder what I'm missing that it isn't more easy to deal with. (?) Example: > red pixels in sky colors, when it isn't sunset, green pixels in skin-tones How does a computer know that the blue in your picture is from the sk