image restoration

[hmzhang]

Dear friends,

I have some stacks of in vivo two-photon fluorescence images, however they have a lot of inherence noises. I hope to get more better image quality through image restoration algorithms. I appreciate your comments or suggestions on this subject.


thanks in advance,
Hongmin


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{WP240,130}{WP130,240}{WP240,130}{WP130,240}{WP240,130}ð[e-mail]
{WP240,130}{WP130,240}{WP240,130}{WP130,240}{WP240,130}{WP130,240}ðð2006-11-13
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[Mikhail Umorin]

Hongmin --
if you are talking about "image restoration", i.e. visualizing information
that was lost in the original image you have to introduce that information
into the image. Also, if you can distinguish algorithmically between
structures of interest and noise that would help too. For both reasons the
procedure would very subject-specific. You would have to use non-linear
techniques because linear ones (like inverse filtering) are of very limited
value (infinite transfer function, no change to S/N). Also, beware of
introducing information into the image which you are trying to discover in
the first place! Try R.L. Lagendijk and J. Biemond. 1991. Iterative
identification and restoration of images. Kluwer Academic Publishers, Boston.

Mike.

On Mon November 13 2006 09:50, Hongmin Zhang wrote:

> Dear friends,
>
> I have some stacks of in vivo two-photon fluorescence images, however they
> have a lot of inherence noises. I hope to get more better image quality
> through image restoration algorithms. I appreciate your comments or
> suggestions on this subject.
>
>
> thanks in advance,
> Hongmin
>
>
> {WP240,130}{WP130,240}{WP240,130}{WP130,240}
> {WP240,130}{WP130,240}{WP240,130}{WP130,240}{WP240,130}ð[e-mail].c
>n
> {WP240,130}{WP130,240}{WP240,130}{WP130,240}{WP240,130}{WP130,240}ðð2006-11
>-13
> ???????????????????????????????????????????????????????????{WP153,172}????'
>?f?{WP76,235}????