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2.8. FILTERING
211
Example346:image.jpg [0] -repeat 3 -smooth.
20 -done
Example 347 : image.jpg 100%,100%,1,2 -rand.
-100,100 -repeat 2 -smooth.
100,0.2,1,4,4
-done --warp[0] [-1],1,1
Tutorial page:
http://gmic.eu/tutorial/_smooth.shtml
2.8.81 -split
freq
Arguments:
• smoothness>0[%]
Split selected images into low and high frequency parts.
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212
CHAPTER 2. LIST OF COMMANDS
Example 348 : image.jpg -split
freq 2%
2.8.82 -solve
poisson
Arguments:
• "laplacian
command",
nb
iterations>=0,
time
step>0,
nb
scales>=0
Solve Poisson equation so that applying ’-laplacian[n]’ is close to the result of ’-laplacian
command[n]’.
Solving is performed using a multi-scale gradient descent algorithm.
If ’nb
scales=0’, the number of scales is automatically determined.
Default values:
• ’nb
iterations=60’, ’dt=5’ and’nb
scales=0’.
Example 349 : image.jpg -m "foo :
-gradient x" --solve
poisson foo --foo[0] --laplacian[1]
2.8.83 -split
details
Arguments:
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Draw markups to PDF document. PDF Protection. • Add signatures to PDF document. • Erase PDF text. • Erase PDF images. • Erase PDF pages. Miscellaneous.
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2.8. FILTERING
213
nb
scales>0,
base
scale[%]>=0,
detail
scale[%]>=0
Split selected images into ’nb
scales’ detail scales.
If ’base
scale’==’detail
scale’==0, the image decomposition is done with ’a trous’ wavelets.
Otherwise, it uses laplacian pyramids with linear standard deviations.
Default values:
• ’nb
scales=4’, ’base
scale=0’ and ’detail
scale=0’.
Example 350 : image.jpg -split
details ,
2.8.84 -structuretensors (+)
Arguments:
scheme={ 0=centered
| 1=forward/backward }
Compute the structure tensor field of selected images.
Default value:
• ’scheme=1’.
Example 351 : image.jpg -structuretensors -abs -pow 0.2
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Redact tab on viewer empower users to redact and erase PDF text, erase PDF images and erase PDF pages online. Miscellaneous. • RasterEdge XDoc.
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214
CHAPTER 2. LIST OF COMMANDS
Tutorial page:
http://gmic.eu/tutorial/_structuretensors.shtml
2.8.85 -solidify
Arguments:
smoothness[%]>=0,
diffusion
type={ 0=isotropic
| 1=delaunay-oriented
| 2=edge-oriented },
diffusion
iter>=0
Solidify selected transparent images.
Default values:
• ’smoothness=75%’, ’diffusion
type=1’ and ’diffusion
iter=20’.
Example 352 : image.jpg 100%,100% -circle.
50%,50%,25%,1,255 -append c --solidify ,
-display
rgba
2.8.86 -syntexturize
Arguments:
width[%]>0,
height[%]>0
Resynthetize ’width’x’height’ versions of selected micro-textures by phase randomization.
The texture synthesis algorithm is a straightforward implementation of the method described in :
http://www.ipol.im/pub/art/2011/ggm
rpn/
Default values:
• ’width=height=100%’.
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2.8. FILTERING
215
Example 353 : image.jpg -crop 2,282,50,328 --syntexturize 320,320
2.8.87 -syntexturize
patchmatch
Arguments:
width[%]>0,
height[%]>0,
nb
scales>=0,
patch
size>0,
blending
size>=0,
precision>=0
Resynthetize ’width’x’height’ versions of selected micro-textures using a patch-matching algorithm.
If ’nbscales==0’, the number of scales used is estimated from the image size.
Default values:
• ’width=height=100%’, ’nb
scales=0’, ’patch
size=7’, ’blending
size=5’ and
’precision=1’.
Example 354: image.jpg -crop 2,282,50,328 --syntexturize
patchmatch 320,320
2.8.88 -tv
flow
Arguments:
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Include crop, merge, paste images; Support for image & documents rotation; Edit images & documents using Erase Rectangle & Merge Block function;
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216
CHAPTER 2. LIST OF COMMANDS
nb
iter>=0,
dt,
keep
sequence={ 0
| 1 }
Apply iterations of the total variation flow on selected images.
Default values:
• ’nb
iter=10’, ’dt=30’ and ’keep
sequence=0’.
Example 355 : image.jpg --tv
flow 40
2.8.89 -unsharp
Arguments:
• radius[%]>=0,
amount>=0,
threshold[%]>=0
Apply unsharp mask on selected images.
Default values:
• ’amount=2’ and ’threshold=0’.
Example 356 : image.jpg -blur 3 --unsharp 1.5,15 -cut 0,255
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2.8. FILTERING
217
2.8.90 -unsharp
octave
Arguments:
nb
scales>0,
radius[%]>=0,
amount>=0,threshold[%]>=0
Apply octave sharpening on selected images.
Default values:
• ’nb
scales=4’, ’radius=1’, ’amount=2’ and ’threshold=0’.
Example 357 : image.jpg -blur 3 --unsharp
octave 4,5,15 -cut 0,255
2.8.91 -vanvliet (+)
Arguments:
• std
variation>=0[%],order={ 0
| 1
| 2
| 3 },axis={ x
| y
| z
| c
},
boundary
Apply Vanvliet recursive filter on selected images, along specified axis and with specified standard deviation,
order and boundary conditions.
’boundary’ can be { 0=dirichlet | 1=neumann }.
Default value:
• ’boundary=1’.
218
CHAPTER 2. LIST OF COMMANDS
Example 358 : image.jpg --vanvliet 3,1,x
Example 359 : image.jpg --vanvliet 30,0,x -vanvliet..
30,0,y -add
2.8.92 -watermark
fourier
Arguments:
• text,
size>0
Add a textual watermark in the frequency domain of selected images.
Default value:
• ’size=33’.
2.8. FILTERING
219
Example 360 : image.jpg --watermark
fourier "Watermarked!" --display
fft -remove[-3,-1]
-normalize 0,255 -append[-4,-2] y -append[-2,-1] y
2.8.93 -watershed (+)
Arguments:
• [priority
image],
is
high
connectivity={ 0
| 1 }
Compute the watershed transform of selected images.
Default value:
• ’is
high
connectivity=1’.
Example 361 : 400,400 -noise 0.2,2 --distance 1 -mul.
-1 -label..
-watershed..
[-1] -mod..
256 -map..
0 -reverse
220
CHAPTER 2. LIST OF COMMANDS
2.9 Features extraction
2.9.1 -area
Arguments:
• tolerance>=0,is
high
connectivity={ 0
| 1 }
Compute area of connected components in selected images.
Default values:
• ’is
high
connectivity=0’.
Example 362 : image.jpg -luminance -stencil.
1 --area 0
Tutorial page:
http://gmic.eu/tutorial/_area.shtml
2.9.2 -area
fg
Arguments:
• tolerance>=0,is
high
connectivity={ 0
| 1 }
Compute area of connected components for non-zero values in selected images.
Similar to ’-area’ except that 0-valued pixels are not considered.
Default values:
• ’is
high
connectivity=0’.
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