in that case just use something like
r>13, g>13, b>13

to check every channel against a threshold or to check the average instead:
(r+g+b)/3>13

etc.

If you don't like the expression node you can also use Clamp, set the minimum and maximum to whatever threshold and turn on minClampTo and maxClampTo to map the clamped values to black and white.





On 24/07/13 16:36, David Yu wrote:
Not NaNs. the hot pixel have RGB values do isnan does not work


On Wed, Jul 24, 2013 at 5:28 AM, Frank Rueter <fr...@beingfrank.info <mailto:fr...@beingfrank.info>> wrote:

    and if it's NaNs or infs you need to isolate, you are after you
    can use "isnan()" and "isinf()" in the Epxresison node to get a mask


    On 24/07/13 09:04, Frank Rueter wrote:
    I'd use this technique to generate the mask for the bad pixels,
    but instead of blurring heavily, I would stencil out the original
    frame with the mask, then blur it just enough for a subsequent
    unpremult to fill the gap.


    On 24/07/13 05:47, John Mangia wrote:
    Use an expression node with r > value ? 0 : 1 where value is the
    upper threshold.  Use that matte and keymix in a heavily blurred
    or translated frame within the hot pixel matte.

    On Tue, Jul 23, 2013 at 1:43 PM, Ron Ganbar <ron...@gmail.com
    <mailto:ron...@gmail.com>> wrote:

        Define hot.
        Do you mean NaNs and INFs?



        Ron Ganbar
        email: ron...@gmail.com <mailto:ron...@gmail.com>
        tel: +44 (0)7968 007 309
        <tel:%2B44%20%280%297968%20007%20309> [UK]
        +972 (0)54 255 9765 <tel:%2B972%20%280%2954%20255%209765>
        [Israel]
        url: http://ronganbar.wordpress.com/


        On Tue, Jul 23, 2013 at 8:41 PM, David Yu <dave...@gmail.com
        <mailto:dave...@gmail.com>> wrote:

            Hi. Anyone know a script or expression to remove hot
            pixel noise from images or 3d renders?

            I tried some crude 3x3 matrix tricks to enhance the
            pixels and tried to "pull" the pixels out and subtract
            from the main image. Then i used the result as a mask
            for a median filter set at 1.

             Looking at the RGB channels, the hot pixel is the same
            value on all 3 channels while the neighbour pixels are
            different per channel. I'm hoping for a more elegant way
            to detect hot pixel using an expression.

            Dave

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