Simulate an uniform out-of-focus blurring of an image.
simulate_defocus simulates out-of-focus blurring of an image. All parts of the image are blurred uniformly. Blurring specifies the extent of blurring by defining the "blur radius" (out-of-focus blurring maps each image pixel on a small circle with a radius of Blurring - specified in "number of pixels"). If specified less than null, the absolute value of Blurring is used. Simulation of blurring is done by a convolution of the image with a blurring specific impulse response. The convolution is realized by multiplication in the Fourier domain.
|
Image (input_object) |
image -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real |
| Image to blur. | |
|
DefocusedImage (output_object) |
image -> object : real |
| Blurred image. | |
|
Blurring (input_control) |
real -> real |
| Degree of blurring. | |
| Default value: 5.0 | |
| Suggested values: 1.0, 5.0, 10.0, 15.0, 18.0 | |
simulate_defocus returns 2 (H_MSG_TRUE) if all parameters are correct. If the input is empty simulate_defocus returns with an error message.
simulate_defocus is reentrant and processed without parallelization.
gen_psf_defocus, simulate_motion, gen_psf_motion
wiener_filter, wiener_filter_ni
gen_psf_defocus, simulate_motion, gen_psf_motion
Reginald L. Lagendijk, Jan Biemond: Iterative Identification and Restoration of Images, Kluwer Academic Publishers Boston/Dordrecht/London, 1991
M. Lückenhaus:"Grundlagen des Wiener-Filters und seine Anwendung in der Bildanalyse"; Diplomarbeit; Technische Universität München, Institut für Informatik; Lehrstuhl Prof. Radig; 1995.
Foundation
