The main problem of vibration blurred image restoration is how the restoration can be done under loose constraints.
振动退化图像的恢复算法面临的主要问题是在比较宽松的约束条件下对模糊图像的快速恢复。
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。
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。
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。
Based on these reasons above, this thesis studies the blind restoration methods of Gauss blurred image so as to reach a better restoration effect.
基于以上原因本文以高斯模糊图像的盲复原为基础，探讨了一些图像复原方法，力求达到较好的复原效果。
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。
A restoration algorithm pointing to Gauss blurred image type is presented in this paper.
论文提出了针对高斯退化类型图像的改进维纳滤波算法。
This paper describes a way in which one can carry out restoration processing of 2-d image, which was blurred and corrupted by addition noise.
本文叙述对变模糊并附加了噪声的二维数字化图象进行恢复处理的一种方法。
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。
应用推荐