Motion deblur report

"Motion deblur" reduces the blurring caused by objects in quick motion during the image acquisition process. The algorythm employed is based on Weiner deconvolution, and it utilizes as a point spread function (PSF) a line "Shift" pixels long, and having a certain "Angle" in degrees.

Report generation: {TIMESTAMP}
User: {USER}
Workstation: {WORKSTATION}

File information

Original file: {SRC_FILE}
MD5: {SRC_MD5}

Processed file: {DEST_FILE}
MD5: {DEST_MD5}

Parameters

• Shift: {SHIFT}
  Blurring length in pixels.

• Angle: {ANGLE}
  Angle of blurring measured from horizontal axis in degrees.

• SNR: {SNR}
  Signal-to-noise ratio to compensate.

References

• 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.
• Raphael C. Gonzales, Richard E. Woods, Digital Image Processing Third Edition, Prentice Hall, pp. 352-357, 2008

This report was automatically generated by "Motion Deblur" ImageJ plugin, written by Marco Buzzanca (marco.bzn@gmail.com).