摘要
图像在形成、传输和记录过程中,由于受多种原因的影响,图像的质量会有所下降,典型表现为图像模糊、失真、有噪声等。针对现有图像遗传恢复算法存在的缺陷,从编码设计、种群初始化、遗传算子操作及更新机制,提出了自己的观点,在MATLAB7.0环境下结合不同图像进行仿真实验。
The image in forms, in the transmission and the recording process, as a result of many kinds of reason influence, the image quality can have fog the drop, the model performance for, the distortion, has the noise and so on. Specifically for the now available image inherits the defect there existing in the algorithm recovering, from the code designing , the INIT , hereditary operator of population handles and renews mechanism, have brought forward self viewpoint , have carrying out the simulated experiment combining with being unlike an image under MATLAB7.0 environment.
出处
《微计算机信息》
2010年第26期212-213,216,共3页
Control & Automation
关键词
失真图像
图像处理
图像复原
遗传算法
运动
离焦
MATLAB
blurred image
image processing
image restoration
Genetic algorithm
movement
out–of–focus
matlab