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盲目复原高斯模糊图像 |
The Blind Restoration of Gaussian Blurred Images |
投稿时间:2010-08-02 |
DOI: |
中文关键词: 点扩展函数 维纳滤波 图像盲复原 高斯模糊 |
英文关键词:point spread function wiener filtering blind image restoration Gaussian blur |
基金项目:国家自然科学基金资助项目(60777045);上海市科技启明星计划资助项目(08QA14051);上海市教育发展基金会资助项目(2007CG61);上海市研究生创新基金资助项目(JWCXL1002) |
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中文摘要: |
经典的图像恢复算法设PSF(点扩展函数)是已知的,然而在许多情况下点扩展函数难以确定,不得不在只知道成像系统部分信息甚至没有任何信息的情况下估计真实图像和PSF,这一过程称为图像盲复原。对于高斯模糊图像,它的点扩散函数是很难被检测出来的,因此高斯模糊图像的盲复原一直是个棘手的问题。本文利用高斯点扩展函数的特性,初始估计点扩展函数并对加噪后的模糊图像进行维纳滤波,后经过中值滤波获得恢复图像。恢复的图像主观视觉效果较好,具有良好的抗噪性,复原效果明显。该方法对于提高图像质量有一定的参考价值。 |
英文摘要: |
Classical image restoration algorithm is based on PSF (point spread function) is known. However, it is difficult to determine the point spread function in many cases, we have to estimate the true image and PSF in the case of only knowing some of the information or no information of imaging systems, this process is called blind image restoration. For the Gaussian blurred image, it is very difficult to detect the point spread function, so blind restoration of the Gaussian blurred image has been a troublesome issue. In this paper, we suppose the initial point spread function using the characteristics of Gaussian point spread function,and do wiener filtering based on
Gaussian blurred image with noise, then gain the restoration image through the median filtering. Experiment shows that, restored image is better in subjective visual effect,and remarkable in recovery effect with good noise immunity. This method has some reference value to improve the image quality. |
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