Thread Subject: Separable 2D Blur Kernel

Hello.
We all know the separability property of a Gaussian Kernel.
Are there any other Separable Blur Kernel which are common?

I'm looking for a kernel which decreases almost as fast as Gaussian Blur.

Thanks.

"Royi Avital" wrote in message <ignorp$shg$1@fred.mathworks.com>...
> Hello.
> We all know the separability property of a Gaussian Kernel.
> Are there any other Separable Blur Kernel which are common?
>
> I'm looking for a kernel which decreases almost as fast as Gaussian Blur.
>
> Thanks.

Anyone?

"Royi Avital" wrote in message <ignorp$shg$1@fred.mathworks.com>...
> Hello.
> We all know the separability property of a Gaussian Kernel.
> Are there any other Separable Blur Kernel which are common?
>
> I'm looking for a kernel which decreases almost as fast as Gaussian Blur.

And it's meant to be circularly symmetric as well? Otherwise, you can always take any 1-D blur kernel b(x) and form a separable 2D kernal from it as b(x)*b(y).

"Royi Avital" <RoyiREMOVEAvital@yahoo.com> wrote in message
news:igpdf0$r3t$1@fred.mathworks.com...
> "Royi Avital" wrote in message <ignorp$shg$1@fred.mathworks.com>...
>> Hello.
>> We all know the separability property of a Gaussian Kernel.
>> Are there any other Separable Blur Kernel which are common?
>>
>> I'm looking for a kernel which decreases almost as fast as Gaussian Blur.
>>
>> Thanks.
>
> Anyone?

This doesn't sound like a MATLAB question but more a general signal or image
processing question. You should ask it on comp.dsp (for general signals) or
sci.image.processing (for image processing.) You can access these groups
through http://groups.google.com if your news server doesn't carry them.

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Steve Lord
slord@mathworks.com
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"Royi Avital" wrote in message <ignorp$shg$1@fred.mathworks.com>...
> Hello.
> We all know the separability property of a Gaussian Kernel.
> Are there any other Separable Blur Kernel which are common?
>
> I'm looking for a kernel which decreases almost as fast as Gaussian Blur.
=======

On a more MATLAB-related note, maybe instead of using a truly separable kernel, a valid alternative for you would be to approximate a standard nonseparable kernel as a sum of separable ones. The following is a tool for doing so efficiently

http://www.mathworks.com/matlabcentral/fileexchange/22619-fast-2-d-convolution