Median filtr would be the best choice and determine
the auto correlation co-efficients for determining
corrupted pixels.
regards
Bob
--- przemyslawmackowiak
wrote:
> Hi.
>
> How can I detect corrupted pixels? I don't want
> filter an whole image,
> but only coruppted pixels. I consider 'salt &
> pepper' noise
>
> Thanks
Reply by przemyslawmackowiak●October 30, 20062006-10-30
Hi.
How can I detect corrupted pixels? I don't want filter an whole image,
but only coruppted pixels. I consider 'salt & pepper' noise
Thanks
Reply by bala...@jasmin-infotech.com●October 26, 20062006-10-26
Hai,
This method will work for impulse noise. Am i correct?
balabharathi
This can be true if the noise is Salt and Pepper noise. But, for other noise
like Guassian noise it cannot be true. >
PRaveen Kumar Y
>
>b...@jasmin-infotech.com wrote:
Hai,
> By analyzing neighbourhood pixels information, we can differentaite the
noise from the edges. Based on the Complexity of analysis, we will get better
results.
>
> If i am wrong, anybody can correct it.
>
> thanks,
> balabharathi
>
> Hi,
> >
> > Iam trying to perform diffusion filter to remove the noise. But my way is
I need to select only the corrupted pixels based on some thresholding and
diffuse only those pixels. But since both the noise and edges are having
highest gradient i don't know how to differentaite the noise from the
edges.
> >
> > Any suggestions please...
> >
> > Thanks,
> > Indhu
> >
> >
Reply by praveenkumar yethapu●October 19, 20062006-10-19
This can be true if the noise is Salt and Pepper noise. But, for other noise
like Guassian noise it cannot be true.
PRaveen Kumar
Y
b...@jasmin-infotech.com wrote:
Hai,
By analyzing neighbourhood pixels information, we can differentaite the noise
from the edges. Based on the Complexity of analysis, we will get better
results.
If i am wrong, anybody can correct it.
thanks,
balabharathi
Hi,
>
> Iam trying to perform diffusion filter to remove the noise. But my way is I
need to select only the corrupted pixels based on some thresholding and diffuse
only those pixels. But since both the noise and edges are having highest
gradient i don't know how to differentaite the noise from the edges.
>
> Any suggestions please...
>
> Thanks,
> Indhu
>
>
Reply by Ayyamperumal Narayanasamy●October 19, 20062006-10-19
Hai,
Follow this & try once, it may help
1.apply a edge filter (Edge image you will get)
2. Substract the edge from original image
3. Then apply your algorithm
Kindly do correct me if it is wrong
Regards
Ayyams
b...@jasmin-infotech.com wrote:
Hai,
By analyzing neighbourhood pixels information, we can differentaite the noise
from the edges. Based on the Complexity of analysis, we will get better
results.
If i am wrong, anybody can correct it.
thanks,
balabharathi
Hi, >
> Iam trying to perform diffusion filter to remove the noise. But my way is I
need to select only the corrupted pixels based on some thresholding and diffuse
only those pixels. But since both the noise and edges are having highest
gradient i don't know how to differentaite the noise from the edges.
>
> Any suggestions please...
>
> Thanks,
> Indhu
Reply by bala...@jasmin-infotech.com●October 17, 20062006-10-17
Hai,
By analyzing neighbourhood pixels information, we can differentaite the
noise from the edges. Based on the Complexity of analysis, we will get better
results.
If i am wrong, anybody can correct it.
thanks,
balabharathi
Hi, >
> Iam trying to perform diffusion filter to remove the noise. But my way is I
need to select only the corrupted pixels based on some thresholding and diffuse
only those pixels. But since both the noise and edges are having highest
gradient i don't know how to differentaite the noise from the edges.
>
> Any suggestions please...
>
> Thanks,
> Indhu
Reply by Indhumathi Chandrasekaran●October 4, 20062006-10-04
Hi,
Iam trying to perform diffusion filter to remove the noise. But my way is I
need to select only the corrupted pixels based on some thresholding and diffuse
only those pixels. But since both the noise and edges are having highest
gradient i don't know how to differentaite the noise from the edges.