Image Bandpass Filter
imbandpass
Bandpass filter for images (2D arrays) supressing high-frequency noise, low-frequency variations, and stripes. Gaussian, Butterworth, or hard filter options.
To use: call function imbandpass(image, low_cutoff, high_cutoff)
, returns smoothed image.
The default options of Gaussian filter, Gaussian stripe filter, and mirrored padding were chosen to replicate imageJ's FFT Bandpass filter.
To access non-default options including stripe supression, use keyword arguments, for example
imbandpass(I, 3, 250, filter="Butterworth", stripes="Horizontal", stripeTolerance=10)
equivalently
imbandpass(I, 3, 250, "filter", "Butterworth", "stripes", "Horizontal", "stripeTolerance", 10)
.
Arguments
Positional
image
Image in. Handles single-channel or RGB images as arrays: input (m,n) or (m,n,3) array of values in range 0 to 255.
low_cutoff
- filter out features below this (real space) lengthscale in pixels.
high_cutoff
- filter out features above this lengthscale.
It's possible to set upper and/or lower cutoff to []
and not apply this aspect of the filter.
Optional keyword parameters
stripes = 'Horizontal'
,'Vertical'
, or 'None'
- supress stripes, default 'None'
stripeFilter = 'Gaussian'
or 'hard'
- stripe filter mode, default 'gaussian'
stripeTolerance
- tolerance (in percent) for stripe deviation from horizontal/vertical alignement, default 5
.
filter='gaussian', 'butterworth'
or 'hard'
, filter profile, default 'gaussian'
butterworthN
exponent in butterworth filter, default 1
padOption = 'symmetric'
, 'replicate'
, 0
or other value, or 'None'
- how to pad image border for Fourier transform, default 'symmetric'
Output
image_out
- a uint8 array with the same dimensions and number of channels as image
.
If this is useful to you or you want it fixed, please let me know with a rating/comment that it worked/how it didn't work!
Cite As
Jason Klebes (2024). Image Bandpass Filter (https://github.com/jklebes/bandpass/releases/tag/v1.2.2), GitHub. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
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Version | Published | Release Notes | |
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1.2.2.0 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.2.2 |
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1.2.1.0 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.2.1 |
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1.2.0.0 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.2.0 |
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1.1.1 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.1.1 |
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1.1.0.0 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.1.0 |
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1.0.4 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.0.4 |
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1.0.2 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.0.2 |
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1.0.0 | See release notes for this release on GitHub: https://github.com/jklebes/bandpass/releases/tag/v1.0.0 |
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0.0.1 |