I'm not sure if this will help, but try looking up hvs on apple's
website. I know they use such a theory in calabrating their monitors.
Karl
Sent from losPhone
On Nov 3, 2009, at 4:48 PM, Anthony Pace <[email protected]>
wrote:
Well kind of a mix really, but I guess you are right for part of it;
yet, I would like to know the math and theory involved, so I can
make educated adjustments.
So I guess the steps will be:
-to reduce the quality of only certain sections of the frame; for,
I want to decrease quality based on the amount of motion in a
section in relation to the the previous frame, and the level of
visual interest, such as contrast, or line, in a given section
(I guess the rules can be adhered to by separating the image into a
grid of smaller images and running the filter based on location
within the frame)
-remove pixels that have not changed colour, and remove pixels for a
frame that have changed colour but are too visually similar for the
human eye to distinguish.
Suggestions?
Matt S. wrote:
Arent you essentially looking for the compression algorithms used by
GIF/PNG/JPG images? For example, when you turn down the quality of ―
or number of colors on ― a gif the like-colors increasingly tend to
merge?
.m
On Tue, Nov 3, 2009 at 4:53 PM, Anthony Pace <[email protected]
> wrote:
After doing a little reading, I think, but I don't know for sure,
that what
I am referring to is called HVS(human visual system) compression.
Any books, detailed articles, formulas or code?
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