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 whole algorithm consists of function modules of motion detection, noise filter, deinterlacing and image enhancement.
算法的整个流程包括：运动检测、噪声滤波、去隔行、帧频变换、图像增强的功能模块。
The function of motion compensation module is to translate, rotate and scale the video image according to the opposition of the shaking parameters so as to achieve smooth and stable visual effect.
运动矫正模块的功能是在已知抖晃参数的条件下，对视频画面进行反向的平移、旋转和缩放，最终达到视频平滑稳定的视觉效果。
Based on this, went up to image construction. It discussed that the hint function of film voice can produce visual-auditory image only by combination with picture motion.
于是，上升到形象建构的高度，论述人声的暗示功能只有和电影的影像运动相联结、相配合才能实现视听形象的生成。
The present invention is suitable for a photographing apparatus with a motion image photographing function and a still image photographing function.
本发明能够适用于具有运动图像拍摄功能与静止图像拍摄功能的摄影装置。
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。
The relationships in various directions between the function, the sum of absolute value of gray difference of image, and the motion blur direction are studied for the first time in this paper.
本文首次研究了在不同方向的图像灰度差的绝对值之和与图像运动模糊方向的关系。在此基础上，提出了几种运动模糊图像清晰度评价函数，并研究了它们的优缺点和适用范围。
The main function is: capturing motion video, parallel playing, drawing analysis, building train booklet, saving records and intelligent image processing.
其中的功能有：视频采集，对比播放，绘图分析，建立练习册，保存训练记录，视频图像的智能分析等。
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 method of establishing the point spread function (PSF) of motion-blurred image is discussed.
提出了一种直接从湍流退化图像中估计湍流点扩展函数值的方法。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
应用推荐