Adding or removing noise
The term “noise” in photography refers to unwanted single pixels or groups of pixels that do not belong in the photo. The noise can be caused various factors. Usually, the problems are either introduced electronically by the camera itself or caused by file formats such as JPEG. Noise appears as colored specks within the photo. You can display the noise best by zooming in. For example, you might see specks of red, pink, green, and yellow in a photo of a clear blue sky.
Corel PaintShop Pro gives you many ways to remove various types of noise, and it even lets you add noise to an otherwise “clean” photo. You can make the following corrections by applying them to a selection or an entire image:
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You can reduce the detail in an image and add a grainy texture. By
adding a small percentage of noise to an image, you can reduce
the appearance of small imperfections and scratches that cannot
be removed with other tools.
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You can find and eliminate small scratches that are either lighter
or darker than the surrounding area.
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You can remedy a common problem seen in video capture images
in which even- and odd-numbered scan lines are recorded at
different rates. The problem is usually noticed if the subject was
moving when the image was captured. Note that removing scan
lines may make noise more visible.
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You can restore a JPEG image to its original appearance. When
you save a file to the JPEG format from any software package
(such as scanning software), the file information is compressed to
create a smaller file. The compression may produce any of the
following artifacts: halos or color leakage beyond the edges of
objects, checkerboard patterns on smooth backgrounds, or blocky
areas.
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You can remove undesirable patterns from scanned images. This
problem sometimes occurs in scanned photographs printed on
textured paper.
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You can remove single-pixel specks that are mostly white or black.
The brightness of each pixel is analyzed and then compared to the
surrounding pixels to determine whether it should be removed.
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You can remove noise in a photo without losing details in edges
within the photo. For example, you can preserve the edges of
facial features while correcting a blotchy complexion.
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You can remove small random specks or areas of noise that are
distinctly different from the surrounding area. The intensity of
each pixel is adjusted to the median intensity of surrounding
pixels. (The median intensity is the middle value, not the average,)
in the range of values.) To preserve object edges, you can use the
Median Filter command. With this command, you can apply more
adjustment to a pixel that differs greatly from surrounding pixels
than to a pixel that is similar to surrounding pixels. You can specify
the number of surrounding pixels to use in the calculation. If you
choose a large number of pixels, more noise is removed, so more
detail is lost.
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You can remove multipixel black or white specks, such as those
caused by dust on film or video.
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You can remove noise or specks in an image while preserving
details in textures. For example, you can preserve textures in
clothing while removing noise from another area (such as a
person’s face).
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In addition, you can use the One Step Noise Removal and the Digital Noise Removal commands. For more information, see To remove digital noise quickly and To use advanced options for removing digital noise.
To add noise |
Edit workspace
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Choose Adjust Add/Remove Noise Add Noise.
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The Add Noise dialog box appears. |
2 |
Choose a noise pattern option:
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Random — creates a granular effect that adds texture
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Uniform — changes the color of the noise to resemble the
original pixels
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Gaussian — makes most of the noise resemble the original
pixels more than the Uniform option
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3 |
Type or set a value in the Noise control to set the percentage of
noise to add.
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Click OK.
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You can use black-and-white noise pixels by marking the
Monochrome check box. To use colored pixels, unmark the
check box.
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To remove scratches automatically |
Edit workspace
1 |
Choose Adjust Add/Remove Noise Automatic Small Scratch
Removal.
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The Automatic Small Scratch Removal dialog box appears. |
2 |
Mark one or both of the following check boxes:
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Remove dark scratches — removes scratches that are darker
than the background
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Remove light scratches — removes scratches that are lighter
than the background
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3 |
In the Local Contrast Limits group boxes, type or set values in the
Lower and Upper controls to set the contrast between a scratch
and its background.
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Increase the Lower control setting to just below where scratches reappear. Decrease the Upper control setting to just above where the scratches reappear. |
4 |
In the Strength group box, choose an option to set the strength of
the scratch removal:
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Mild
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Normal
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Aggressive
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Select the lowest setting that removes scratches. Examine all areas of the image to make sure that important details are not lost. |
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Click OK.
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To limit the correction to a specific area, make a selection. The
command works better when applied to a selection than when
applied to an entire image.
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To sharpen video capture images |
Edit workspace
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Choose Adjust Add/Remove Noise Deinterlace.
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The Deinterlace dialog box appears. |
2 |
In either the Before or After pane at the top of the dialog box,
drag to pan to the image area where the scan lines are most
apparent.
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In the Scanlines to retain group box, choose an option that
specifies whether to retain the odd-numbered or even-numbered
scan lines.
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Click OK.
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You should apply the Deinterlace command before you resize
the image. Resizing adds or removes pixels from the image,
which makes it more difficult to identify scan lines. If your
image has already been resized, you must return it to the
original size as closely as possible so that each scan line is 1 pixel
high. Using the zoom control in the dialog box, you can zoom
until you can see how many pixels make up one scan line, and
then you can resize the image so that each scan line is 1 pixel
high. For example, if the enlarged image has scan lines that are
2 pixels high, you would resize it by 50 percent. Note that
resizing the image causes it to lose clarity.
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To remove artifacts from JPEG images |
Edit workspace
1 |
Choose Adjust Add/Remove Noise JPEG Artifact Removal.
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The JPEG Artifact Removal dialog box appears. |
2 |
In either the Before pane or the After pane at the top of the dialog
box, drag to pan to the image area where the scan lines are most
apparent.
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3 |
In the Strength group box, choose an option to determine the
strength of correction.
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For best results, try each option, and examine all areas of the image, to see which one works best. |
4 |
Type or set a value in the Crispness control to specify the amount
of detail to restore.
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Values range from 0 (the least) to 100 (the most). |
Excessive crispness may produce fine dots in the image. |
5 |
Click OK.
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You can apply the JPEG Artifact Removal command to a file in
any format. For example, if you have saved a JPEG file to the
Corel PaintShop Pro (.pspimage) format, you can still apply the
command.
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Because JPEG compression discards image information, the
ability to restore JPEG images is limited.
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To remove moire patterns |
Edit workspace
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Choose Adjust Add/Remove Noise Moire Pattern Removal.
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The Moire Pattern Removal dialog box appears. |
2 |
Type or set a value in the Zoom control to magnify the image until
you can see the fine patterns clearly.
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3 |
Type or set a value in the Fine details control to set the level of
pattern removal.
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Change the value one number at a time until the pattern disappears. Higher values may blur the image, so use the lowest value that removes the pattern. |
4 |
Use the zoom control in the dialog box to reduce the image
magnification until you can see bands or color blotches clearly in
the After pane.
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Although bands or blotches may be visible when the image is displayed at a setting of 100%, they may be easier to see at lower settings. |
5 |
Change the value one number at a time in the Remove bands
control until any color bands or blotches become less visible (they
may not disappear completely). To avoid desaturation of small
objects, use the lowest value possible.
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Click OK.
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After you have removed the moire pattern, you may be able to
use the Sharpness commands in the Adjust menu to restore
detail and remove blurriness without reintroducing the pattern.
The Sharpness commands work best when you choose a Fine
details setting in the Moire Pattern Removal dialog box that is
slightly higher than needed to remove the pattern.
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To remove single-pixel specks |
Edit workspace
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Select the area in the photo that contains the specks.
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2 |
Choose Adjust Add/Remove Noise Despeckle.
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The selection is despeckled. |
To remove noise while preserving edges |
Edit workspace
1 |
Select the area that contains the noise you want to remove.
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2 |
Choose Adjust Add/Remove Noise Edge Preserving Smooth.
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The Edge Preserving Smooth dialog box appears. |
3 |
Type or set a value in the Amount of smoothing control.
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Choose the smallest amount of smoothing that removes the specks while retaining image detail. You cannot enter a value lower than 1. |
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Click OK.
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Although you can apply the Edge Preserving Smooth command
to the entire image, the command works best when you select
the problem area.
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To remove distinct areas of noise |
Edit workspace
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Select the area that contains the noise you want to remove.
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Choose Adjust Add/Remove Noise Median Filter.
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The Median Filter dialog box appears. |
3 |
Type or set a value in the Filter Aperture control to choose the
number of surrounding pixels to include in determining the
median pixel intensity.
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Values range from 3 to 31 in odd-numbered increments. |
To preserve image details, choose the smallest filter that removes the noise. For single-pixel colored specks, set the filter to 3. |
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Click OK.
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Although you can apply the Median Filter command to the
entire image, the command works best when you select the
problem area.
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To remove multipixel specks |
Edit workspace
1 |
Select the area that contains the specks.
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2 |
Choose Adjust Add/Remove Noise Salt and Pepper Filter.
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The Salt and Pepper Filter dialog box appears. |
3 |
Type or set a value in the Speck size control to set the minimum
size, in pixels, of the largest speck that can be completely
removed. The value is always an odd number.
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Type or set a value in the Sensitivity to specks control to set how
different an area must be from its surrounding pixels to be
considered a speck.
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Click OK.
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Although you can apply the Pepper Filter command to the
entire image, the command works best when you select the
problem area.
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You can remove all specks that are smaller than the Speck size
value by marking the Include all lower speck sizes check box.
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You can intensify the strength of the correction by marking the
Aggressive action check box.
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To remove noise while preserving textures |
Edit workspace
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Select the area that contains the noise you want to remove.
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Choose Adjust Add/ Remove Noise Texture Preserving Smooth.
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The Texture Preserving Smooth dialog box appears. |
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Type or set a value in the Amount of correction control to set a
value for the strength of the correction.
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At lower values, a small amount of noise is removed, but textured areas are preserved. At higher values, more noise is removed, but textured areas may not be fully preserved. |
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Click OK.
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Although you can apply the Texture Preserving Smooth
command to the entire image, the command works best when
you select the problem area.
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