simulate_defocussimulate_defocusSimulateDefocusSimulateDefocussimulate_defocus (算子)

名称

simulate_defocussimulate_defocusSimulateDefocusSimulateDefocussimulate_defocus — 模拟图像的均匀离焦模糊。

签名

simulate_defocus(Image : DefocusedImage : Blurring : )

描述

simulate_defocussimulate_defocusSimulateDefocusSimulateDefocusSimulateDefocussimulate_defocus simulates out-of-focus blurring of an image. All parts of the image are blurred uniformly. BlurringBlurringBlurringBlurringblurringblurring 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 BlurringBlurringBlurringBlurringblurringblurring - specified in “number of pixels”). If specified less than null, the absolute value of BlurringBlurringBlurringBlurringblurringblurring 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.

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
在元组级别上自动并行化。
在通道级别上自动并行化。

参数

ImageImageImageImageimageimage (输入对象) (multichannel-)image(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / real)

Image to blur.

DefocusedImageDefocusedImageDefocusedImageDefocusedImagedefocusedImagedefocused_image (输出对象) image(-array) → object (real)

Blurred image.

BlurringBlurringBlurringBlurringblurringblurring (输入控制) real → (real)

Degree of blurring.

默认值： 5.0

建议值： 1.0, 5.0, 10.0, 15.0, 18.0

结果

simulate_defocussimulate_defocusSimulateDefocusSimulateDefocusSimulateDefocussimulate_defocus 在所有参数正确时返回 2 ( H_MSG_TRUE )。如果输入为空，simulate_defocussimulate_defocusSimulateDefocusSimulateDefocusSimulateDefocussimulate_defocus 返回一条错误消息。

可能的前趋

gen_psf_defocusgen_psf_defocusGenPsfDefocusGenPsfDefocusGenPsfDefocusgen_psf_defocus, simulate_motionsimulate_motionSimulateMotionSimulateMotionSimulateMotionsimulate_motion, gen_psf_motiongen_psf_motionGenPsfMotionGenPsfMotionGenPsfMotiongen_psf_motion

可能的后继

wiener_filterwiener_filterWienerFilterWienerFilterWienerFilterwiener_filter, wiener_filter_niwiener_filter_niWienerFilterNiWienerFilterNiWienerFilterNiwiener_filter_ni

另见

参考文献

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.

模块

基础

算子