Clarity evaluation function of motion blurred image is an important criterion for evaluating the quality of image restoration.
运动模糊图像清晰度评价函数是图像恢复中评价图像质量的一个重要判据。
Restoration of photographs blurred by image motion is introduced by photographic apparatus relative motion with object in exposal moment.
运动模糊图像是由于摄像设备和对象之间在曝光瞬间的相对运动造成的。
The restoration of rotational motion blurred images with the boundaries of non zero gray values is a study hotshot in the field of image processing.
具有非零灰度边界的旋转运动模糊图像的恢复是图像处理的一个热点研究问题。
It also analyses the restoration of the motion blurred image and the Hough transform in the image processing.
分析了图像处理过程中的运动模糊图像复原和霍夫变换。
This article is focus on fuzzy restoration algorithm of blurred image that is induced by relative motion. A degradation function model is proposed to analyze the blurred image.
论文基于模糊算法对由相对运动引起的模糊图像的复原算法进行了研究，阐述了运动模糊图像退化的数学模型。
Thus it probes into the restoration question of photographs blurred by uniform linear image further motion.
并进一步通过分析相应的数学模型，探讨了匀速直线运动模糊图像的恢复技术问题。
The key problem in image restoration is to get the point spread function of motion-blurred images and the knowledge about noise. Gaussian white noise is commonly assumed as the noise.
由运动模糊图像复原出原图像关键问题是获取点扩展函数和噪声信息，其中噪声通常假设为高斯白噪声。
The key problem in image restoration is to get the point spread function of motion-blurred images and the knowledge about noise. Gaussian white noise is commonly assumed as the noise.
由运动模糊图像复原出原图像关键问题是获取点扩展函数和噪声信息，其中噪声通常假设为高斯白噪声。
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