AVR-Chat

You have been comparing to what is done for video. My sketchy knowledge
here is that video is often dealt with in blocks. Some of the compression
and detection processing compares old blocks to new ones (at the same
image coordinates). So, rather than save all the pixels of old images,
they save statistics of those blocks. It still requires FAST processing
and lots of memory.

I'll take a look at your reference and see if there is anything I can
glean from it. This (sensor "quality") IS an area I have had to deal with
several times.

Jim

> On Thu, Jan 15, 2009 at 11:38 AM,  <wagnerj@proaxis.com> wrote:
>> Are there other measures of "spread" of data besides standard deviation
>> that would be useful?
>
> Probably.. there's a paper on this that may help, but the math is beyond
> me.
> Here's some examples of how it's used in video processing.
> http://www.svcl.ucsd.edu/projects/dytexbkgnd/
>
> It looks to me like it's also workable on discrete analog sensors, in
> detecting anomalies, which is what got me excited about taking it on
> as a project.
>