| Author: |
Marco Buzzanca (marco.bzn@gmail.com)
|
| Advisor: |
Prof. Sebastiano Battiato (battiato@dmi.unict.it)
|
| History: |
This plugin was developed in August/September 2011 |
| Works with: |
Any kind of greyscale and color image without LUT. |
| ImageJ's version: |
1.44o (used to develop this plugin) |
| License: |
Simplified BSD License |
| Source: |
motion_deblur_src.zip
|
| Download: |
motion_deblur.zip |
| Installation: |
Download and extract the contents of file
motion_deblur.zip and
simply put "Motion_Deblur.jar" into any plugin directory or
subdirectory.
|
| Description: |
Motion deblur reduces the blurring caused by objects in
quick motion during the image acquisition process. The
algorithm employed is based on Weiner deconvolution.
|
| Usage: |
- Load any kind of supported image
-
Load "Motion Deblur" plugin: note that it will hook
to the active image.
-
Specify parameters to determine the point spread
function and the signal-to-noise ratio to
compensate. This can be done in three ways:
-
Using the line tool: drag a line on the
hooked image canvas (Shift/Angle only).
- Using the sliders.
-
Manually entering textual information in
textboxes. Max shift allowed is half of the
shortest image dimension, while max angle
is 180 degrees.
-
"Apply filter" will process the image and create a
new window containing the processed image.
(Optional: by ticking the "Show OTF" checkbox the
plugin will create another window showing the OTF
power spectrum).
The user can also generate a forensic report by pressing
the "Generate report" button. It will include the following
information:
- User, machine and current timestamp
-
Original and processed image filenames and MD5
hashes. Note that processed image will be saved as
a BMP file to prevent further degradation.
- Shift, Angle and SNR
- Bibliographic references
|
| References: |
-
Raphael C. Gonzales, Richard E. Woods, Digital
Image Processing Third Edition, Prentice Hall,
pp. 352-357, 2008
-
J.S. Lim, Two-Dimensional Signal and Image
Processing, Englewood Cliffs, Prentice Hall,
NY, p. 548, equations 9.44 -- 9.46, 1990.
-
Anil. K. Jain, Fundamentals of Digital Image
Processing, Prentice Hall, pp. 276-284, 1989.
|
|
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