Re: Re: Apple iOS 6 SVG Problems

What you have described sounds interesting. You must understand I see many,
many attempts at raster to vector conversion that are more or less failure
and useless. It's still going to be an "I'll believe it when I see it"
situation here, but good luck with your project and I hope you produce
something viable :)

On Wed, Nov 21, 2012 at 3:17 PM, Joe Doll <[email protected]>wrote:

> **
>
>
> Hi Marty,
>
> A picture is data from a sensor. In this case, the sensor is a camera.
> The sensor is far from perfect. A picture that is supposed to have 3
> colors could easily be more than 15,000 colors. The data that has value
> from any picture is call the signal and everything else is called noise.
> For example, if we are trying to see an animal in the forest, the dots
> belonging to the animal contain the data (and a lot of noise), and all
> other dots are called noise. I'm not speaking down to you, I'm just
> giving you some background information.
>
> Color grouping (aka color segmentation) and shape grouping are noise
> suppression techniques that eliminate most of the noise in an image.
> When the noise is reduced, SVG becomes much more efficient.
>
> No information (signal) can be extracted from a picture unless two or
> more dots are constellated into a group. In graphics (from machine
> vision I think), this is called a blob.
>
> It is immaterial whether the dots in a blob have different colors. As
> humans, we group by colors. In other words, if the data is not
> constellated by color, then we can't see it. Each group has one color.
> In SVG, a path is closed around a blob and filled with a single color.
>
> When a photograph is converted to SVG, everyone does color grouping.
> Most color groupers rely on frequency analysis or averaging techniques.
> These techniques produce file sizes that are about 15 times larger than
> a JPG, and they look much worse. It is all about signal to noise
> extraction. At our company, we use a much more involved color grouping
> process, and for that effort we can color group well enough that our
> files are about 1.5 times larger than SVG and they are somewhat
> comparable to JPG.
>
> We haven't added shape grouping, yet, but that would reduce the noise
> further which would allow us to produce SVG which has a smaller file
> size than JPG.
>
> Shape grouping is explained in my previous E-mail. When shape grouping
> uses geographic shapes as the objective (we call this entropic
> compression), then we can do about 10 times better than JPG, and the
> quality is higher than JPG.
>
> More compression can be obtained by organizing the mathematical
> representation, but I will leave that for later.
>
>  
>


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