共查询到20条相似文献,搜索用时 62 毫秒
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单帧图像的超分辨率技术进展 总被引:1,自引:0,他引:1
单帧图像超分辨率重建是就是由一幅降质的含噪的低分辨率图像来估计一幅高分辨率图像。列举了当前研究的几种主要算法,从峰值信噪比、框架相似性和边缘稳健性的标准来加以比较。最后的结果显示RS算法性能最优,这也符合主观评价标准。 相似文献
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为了实现超分辨率视频图像的实时复原,设计了以ZedBoard可编程片上系统为基础的超分辨率视频复原系统。系统包括基于V4L2(Video for Linux 2)的USB摄像头视频采集、基于小波变换的超分辨率复原算法处理和基于Qt的图形用户界面制作以及视频输出。采用双线性、双立方和小波变换算法分别对Lena图像进行复原处理,峰值信噪比PSNR值分别为29.516、29.843、31.368。实验结果表明,提出的基于小波的超分辨率复原算法优于传统的插值算法,基于ZedBoard的超分辨视频复原系统复原效果良好。 相似文献
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以两颗航天器间相对位置参数测量为研究对象,确定了基于单目计算机视觉及目标特征的测量方案,提出了基于超分辩率图像重构技术的航天器间相对位置的高精度测量方法。分析讨论了图像传感器的观察模型、图像传感器及光学测量系统的点扩散函数、配准方法、重构原理及方法。利用地面试验验证了该方法的正确性。试验结果表明:该方法与基于单帧图像及目标特征的方法、基于插值的方法相比较,在测量精度及稳定性等方面都有了较大的提高;与基于单帧图像及目标特征的方法相结合,不仅可以保证在不同作用距离上相对位置的高精度测量,而且具有较高的测量稳定性和可靠性。 相似文献
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多帧图像超分辨率算法利用图像间的互补信息, 可以从一系列具有亚像素位移的低分辨率影像数据中重建出高分辨率图像. 在众多超分辨率算法中, 正则化方法以其求解病态问题的有效性而被广泛应用, 但在此类方法中, 最优估计算子的估计准确度对最后的重建结果有着较大的影响. 本文在现有正则化超分辨率重建算法的基础上, 提出了一种基于双阈值Huber范数的极大似然估计算子, 可以提高Huber范数对于阈值取值的容忍性和算子估计精度; 并给出了基于该算子的正则化超分辨率算法的迭代公式. 通过对仿真图像进行重建, 结果表明算法可有效地抑制各种噪声并保证重建效果; 同时将此算法应用于实际图像的超分辨率重建, 有效地提高了目标影像的空间分辨率.
关键词:
图像处理
图像重建
超分辨率
正则化 相似文献
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基于多尺度递归网络的图像超分辨率重建 总被引:1,自引:0,他引:1
提出了一种基于多尺度递归网络的图像超分辨率网络模型,该模型主要由多个多尺度特征映射单元级联而成,每个单元分别包含一组不同尺度的特征提取层、一个融合层以及一个特征映射层。特征提取直接在原始低分辨率图像上进行,最后采用亚像素卷积重构高分辨率图像。训练阶段使用自适应矩估计优化方法加速网络模型的收敛。实验结果表明,所提算法取得了较好的超分辨率结果,图像纹理清晰、边缘锐利,视觉效果明显得到增强。在Set5、Set14、BSD100以及Urban100等常用测试集上的客观评价指标(PSNR和SSIM)均高于现有的几种主流算法。 相似文献
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基于半像素错位的多幅图像重建高分辨率图像技术研究 总被引:3,自引:0,他引:3
介绍了一种基于半像素错位的多幅图像重建高分辨率图像技术。分析了半像素错位的多幅图像与高分辨率图像各像素灰度值的对应关系 ,并从CCD数字化采样的角度进行了论证。同时 ,结合实际摄像机CCD结构 ,求出了高分辨率图像重建的计算公式 ,并通过实验进行了验证和完善。重建的本质是以原高分辨率图像的 4邻域平均图像为基础 ,增加一定比例的边缘细节信息 ,去接近原高分辨率图像。CCD的动态范围越大 ,图像的灰度级越多 ,那么计算误差就越小 ,图像的边缘细节信息就可以利用更多 ,重建的图像就越接近原高分辨率图像。通过实验和分析表明 ,利用半像素错位的多幅低分辨率图像重建高分辨率图像的原理是正确的 ,方案是可行的 相似文献
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A stereo disparity-based range finding technique was developed for measuring three-dimensional coordinates of object points. It used an image-matching algorithm which functionally consisted of scene reduction, epipolar line selection, and features matching. Experiments implementing this technique were performed on an industrial vision system. An error analysis indicated that image resolution was the major source of measurement inaccuracy. 相似文献
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A novel scheme to the area measurement of multiple objects is proposed. This scheme is suitable for the simultaneous and exact measurement of multiple objects’ surface areas with different shapes. A geodesic active contour is applied and this scheme consists of three steps. Firstly, the active contour converges to the object's contour edge from an initial position via the iteration of level set functional ?. Secondly, for the convergent active contour, the sub-pixel area measurement and centroid measurement are applied to compute every object's area and centroid simultaneously. Finally, a centroid-self-calibration technology is applied, which measures the pixel's size equivalence with the computed centroid and a dual-frequency laser to measure every object's true surface area. Experiments indicate that this scheme's measurement repetition error can decrease to ±0.4% and that its single measurement error can decrease to ±0.2%. Compared to conventional area measurement schemes, this scheme is highly efficient (i.e., simultaneous measurement of multiple objects’ areas) and highly accurate. 相似文献
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This paper presents an iterative algorithm for circular decomposition which investigates the separation of overlapped circular
particles of a binary image, in order to locate their center coordinates and to estimate their radii. Since this algorithm
is based on the measure of a circle similarity of an object in an image to execute a search for concavities, object segmentation
and circle recognition, its implementation is simpler than the algorithm based on polygonal approximation. In this work we
compare the accuracy and robustness of the proposed circle similarity algorithm with a polygonal approximation based algorithm
using synthetic images and real blood cell images. Both the algorithms are able to decompose connected blood cells. However,
the input parameters of the polygonal approximation method shows high sensitivity to the shape or agglomeration of an object,
while the proposed algorithm demonstrates more stable performance. 相似文献
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Image processing algorithms have been developed to extract fringe length, tortuosity and separation from high resolution transmission electron microscopy images. To validate the separation algorithm, a comparison is made between the image-based fringe separation and that obtained by analysis of X-ray diffraction data for a progressively heat-treated carbon black. Agreement is favorable. To illustrate the utility of the analysis parameters for a range of carbon nanostructures, analysis is applied to a series of pyrolytically prepared carbon soots – qualitatively described as containing amorphous, graphitic or fullerenic nanostructure. For all processing, the intermediate image, in the form of a skeletonized binary image of the original high resolution transmission electron micrograph, is shown and found to accurately reflect the nanostructural organization within the carbon as visually observed. Statistical results for each analysis parameter, extracted from the binary images, are presented in the form of histograms and quantitatively distinguish the different carbon nanostructures. 相似文献
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