| |
What is image noise? |
|
Hot
pixels
Excessive variation
Film grain |
Stray
pixels or hot pixels

Hot pixels are stray bright pixels created by over-heated
sensors in digital cameras or scanners. In particular in dark
areas or in night shots with long exposure |
Too much
variation

Some variation is desirable, but when it becomes too strong,
it dominates the impression and is called noise. Typical for
all digital cameras and scanners |
Film
grain

The pigment-crystals in the film show when enlarging a scan
of a regular 24x36 film. |
|
|
Dust
and scratches |
Blemishes
such as dust, scratches or hair are not always obvious until
you start editing the image. Here's an example of how common
Unsharp Mask will enhance noise. To the right you see a hair
that accidentally entered the scan (left) and how unsharp
mask exposes it (right). - PowerRetouche Sharpness Editor
won't do that.
|
|
|
|
|
Clean up stray pixels
|
|
Clean
up
Level % |
Checking
Clean up stray pixels will remove stray pixels before any
other processing is done.
The slider Level % sets the threshold for when a pixel should
be considered stray and be removed. The higher, the more is included.
Remember that this only deals with single isolated pixels that fall
out.
|
|
Hot
pixels |
A special kind of stray
pixel noise is known as hot pixels. They appear in digital
photographs taken at long exposure time and are caused by unwanted
charge in the cameras sensors due to prolonged activity. Remove
them with this clean up. |
|
|
Method control set |
|
The
methods |
The
plugin filter offers five different methods to filter out noise.
Soft Focus
Film grain leveling
Despeckle
Median
Smooth by average
|
|
Night
or dark image |
Checking this will change
the noise filtering algorithms. So you actually have ten, not five,
different methods. When taking pictures of dark images, you need
longer exposure times and that produces a different kind noise.
Scanners also produce a different kind of noise when scanning dark
images, especially when scanning dark blue. Try with and without
the dark image option and choose what looks the best.
|
|
Filter
size
width |
This
sets the size of the context against which the current pixel is
judged. Increasing the size markedly slows down the filter.
The example is enlarged 800%. In this the noise is about two pixels
wide, so a filter size of two would be optimal.
You can safely assume that random noise from scanners and digital
cameras is only one, or max. two, pixels wide. Noise from film grains
however will vary in size depending on the resolution of the scan.
Note that PowerRetouche's sliders ask for the size you can actually
see the blemish has.
|
|
Effect
% |
This is a very important
filter control. It determines to which degree the filtering should
be applied to the image. |
|
|
Preserve details mask |
|
Preserve
details
Mask unpreserved |
This
set of controls lets you isolate details so they won't be changed
by the noise filtering.
Mask unpreserved. This is only an aid in setting the filter
controls. We decided to draw the mask over what will be changed
so it would be easier to see what will be preserved. You can change
the color of the mask by clicking on the rectangle.
|
|
Degree
Selection level
Spread selection |
Degree
determines to what degree the details should be untouched by the
filtering. It's nice to be able to apply some change, about 20%,
so 80% is the default setting. The mask will be more or less transparent
depending upon the degree of preservation. 100% is totally opaque.
Selection level % determines how much will be included as
details.
Spread selection % determines how much around the detail
should also be spared.
|
|
|
Examples of the methods |
|
Soft
Focus |
This is Power Retouche's own unique
method. It retains sharpness while softening - in much the same
way as traditional soft focus lens filters do. If you inspect the
pixels before and after, you will find that pixel variations are
preserved unlike in traditional median.
If you want to preserve richness of tonal variations, but need to
reduce noise, choose this method. If on the other hand you need
to cover up bad pixels like from hair or dust, patching (median)
might serve you better.

Original photo with noise
|

Filter size 1, 100%
|

Filter size 2, 100%
|

Filter size 3, 70%
|
|
|
Film-grain
leveling |
This method is designed to remove
the colored crystal specks from film grain without impairing neither
sharpness nor grayscale values.

Original - enlarged 400%
|

Filtered once at size 5 - twice the grain size
Effect 50%
|
Setting the filter size to the same pixel size as the grain will
reduce the low-level color mosaic caused by film grains, but if
you want to completely remove it you will have to set the size to
the double (above we used size 5) so the plugin can span over several
varicolored film-grains and better calculate the appropriate color
they captured on the original film.
Images vary, but as a rule of thumb (with this method) it's better
to have a large filter size with a low effect, than a small size
at full effect. It is, however, time consuming. |
|
Despeckle |
This method preserves the color
of the pixel as far as possible while altering its brilliance to
fit in with the surrounding pixels. It is a completely different
kind of despeckle from what is commonly known as such.
Be aware that some blurring is unavoidable since minute value-differences
become even. However, the blurring should be less with our despeckle
than with regular despeckle or median, smoothing, etc.. Also the
preserve details mask will remedy the blurring. In the examples
we have not used the preserve details mask.

Original
|

Filter size 1, 100%
|

Filter size 2, 100%
|

Filter size 3, 50%
|
|
|
Median
patching |
Patching
(or "median") is to replace the blemish with a likely
substitute taken from the surrounding pixels. This is the most common
means of noise-elimination, and digital photo software normally
offers the possibility of using median to remove noise. The problem
with median is that it as a side effect filters out the subtle coloristic
variations of the local hue and the image gets a watercolor-like
and dead appearance.
The example to the right has been median filtered on all three channels.
Please compare to the examples below...
|
|
Patch
using |
Power Retouche lets you treat the
three color-channels (red, green, blue) separately. Usually noise
is mainly in one channel only (typically the green, but it varies),
so by patching the noisy channel alone, you preserve far more coloristic
variation. When working on selected channels you must set the filter
size low to avoid creating other kinds of noise. For example filtering
green only may actually create magenta noise along edges, so use
it with caution.
When patching by median is selected, you will be presented with
the following extra checkboxes: red, green and blue. The button
"All" will check all three. In the windows versions you
can check/uncheck the colors with Alt+R, Alt+G and Alt+B. Alt+A
will select all.

Original
|

Red channel, size 2, 100%
|

Green channel, size 2, 100%
|

Blue channel, size 2, 100%
|
|
|
Median
with graphics |

Median RGB is very good for removing lines from dirt and dust in
scans of graphics.
All three color channels (RGB) checked. The lines in the original
(top half) are completely removed in the filtered version (lower
half). (Image is enlarged 400%)

In this example only the blue channel has been selected. The result
is that the complementary color gets filtered out. The complementaries
are...
Red - Cyan
Green - Magenta
Blue - Yellow
|
|
Smooth
by average |
This method replaces the pixel with
the average of all the pixels within the area covered by the filter
size It will produce a blurry image, but is actually not blur in
an optical sense (defocus). However many photo editing applications
call this smoothing operation "blur".
Use smoothing in conjunction with a target range - for example to
smooth out noise in the darks.

Original
|

Size 1, 100%
|

Size 2, 100%
|

Size 3, 50%
|
|
|
|
Preserve details combined with soft focus |
|
|
In this example we used the soft focus method
together with the preserve details mask. These are the settings
used...
 |

This is the mask we used to spare the details
|

Original photo with noise
|

Noise filtered photo
|
|
|
|
Retouch Levels |
|
| |
As
with most Powerretouche filters you can vary the intensity of the
retouching at various brightness levels.
|
|
|
Use brightness-range |
|
Brightness
range controls |
These controls are implemented in
most of the Power Retouches.
Dark limit - only pixels lighter than this will be filtered.
Light limit - only pixels darker than this will be filtered.
Target - pixels at this value will be changed the most. How
the rest are changed depends on the next slider,
Softness - If set to 0, all pixels within the limits will
be equally filtered. As the slider rises, the effect fades out towards
the limits.
Mask out of range - This is an aid in setting the sliders.
It does not show on the filtered image. |
|
Example...
Brightness range combined with Despeckle |
Very often noise is only a pain to the eye in
the mid tones. When that is the case, there is no need to
filter the shadows also. In this example we set the target
range as follows...
Dark limit = 70
Light limit = 215
Target = 155
Softness = 100
To the right you can see how the mask spreads over the photo...
We combined this with Despeckle at filter size 2. |

|

Unfiltered photo with noise
|

Despeckle filtered photo
|
|
|
 |
 |
|