simulate_motion — Simulation of (linearly) motion blur.
simulate_motion is obsolete and is only provided for reasons of backward compatibility.
simulate_motion simulates blurring caused by a relative motion between the object and the camera during exposure. The simulated motion moves along an even. Angle fixes its direction by specifying the angle between the motion direction and the x-axis (anticlockwise, measured in degrees). Simulation is done by a convolution of the image with a blurring specific impulse response. The convolution is realized by multiplication in the Fourier domain. simulate_motion offers five prototypes of impulse responses conforming to different acceleration behaviours. Type allows to choose one of the following PSF prototypes:
reverse ramp (crude model for acceleration)
reverse trapezoid (crude model for high acceleration)
square pulse (exact model for constant velocity), this is default
forward trapezoid (crude model for deceleration)
forward ramp (crude model for high deceleration)
(default value is 3.)
The simulated blurring affects all part of the image uniformly. Blurring controls the extent of blurring. It specifies the number of pixels (lying one after another) that are affetcetd by the blurring. This number is determined by velocity of the motion and exposure time. If Blurring is a negative number, an adequate blurring in reverse direction is simulated. If Angle is a negative number, it is interpreted clockwise. If Angle exceeds 360 or falls below -360, it is transformed modulo(360) in an adequate number between [0..360] resp. [-360..0].
image to be blurred.
motion blurred image.
extent of blurring.
Default value: 20.0
Suggested values: 5.0, 10.0, 20.0, 30.0, 40.0
Angle between direction of motion and x-axis (anticlockwise).
Default value: 0
Suggested values: 0, 45, 90, 180, 270
impulse response of motion blur.
Default value: 3
List of values: 1, 2, 3, 4, 5
simulate_motion returns 2 (H_MSG_TRUE) if all parameters are correct. If the input is empty simulate_motion returns with an error message.
simulate_defocus, wiener_filter, wiener_filter_ni
gen_psf_motion, simulate_defocus, gen_psf_defocus
Anil K. Jain:Fundamentals of Digital Image Processing, Prentice-Hall
International Inc., Englewood Cliffs, New Jersey, 1989
M. Lückenhaus:“Grundlagen des Wiener-Filters und seine Anwendung in der Bildanalyse”; Diplomarbeit; Technische Universität München, Institut für Informatik; Lehrstuhl Prof. Radig; 1995.
Kha-Chye Tan, Hock Lim, B. T. G. Tan:“Restoration of Real-World Motion-Blurred Images”;S. 291-299 in: CVGIP Graphical Models and Image Processing, Vol. 53, No. 3, May 1991