| 1. | Morphological interpolation applied in image reconstruction
形态插值方法应用于图像重构 |
| 2. | A multi - focus color image reconstruction approach - based human vision feature and adaptive optimal search
用视觉特性和自适应优化搜索实现多聚焦彩色图像重构 |
| 3. | Good impedance imaging reconstruction can be gotten for models with various shapes and differential conductivity
对不同结构形状、不同导电性能的模型进行实验，均可获得较好的阻抗图像重构效果。 |
| 4. | The limitation of the conventional lambertian reflectance model for the image reconstruction is addressed and a new wavelet neural network ( wnn ) - based image reconstruction model is proposed
摘要针对传统的图像重构算法的不足，提出一种基于小波神经网络的图像重建快速学习算法。 |
| 5. | The thesis introduces the background , development status and object of our research firstly . the second step , many kinds of super - resolution reconstruction algorithms are discussed
论文首先介绍了课题的背景，超分辨率图像重构在国内外的发展状况及本课题要解决的问题和达到的要求。 |
| 6. | In this study , micro - ct scanning 、 image reconstruction and the technique of grey value analysis were used to analyze interface and phase transformation during sublimation of freeze - drying
摘要采用微ct扫描成像、图像重构及灰度值分析技术对冷冻干燥中升华过程界面及气固相变进行实验观察与分析。 |
| 7. | Now , the research of super - resolution reconstruction technique basing on the image sequence focuses on two factors : ( d capturing an image sequence with slight displacement ; ? he reconstruction algorithm of high - resolution image
基于序列图像重构的超分辨率成像技术研究主要集中在两个方面：空间上互有位移的序列初始图像的获取；高分辨率图像的重构算法。 |
| 8. | Super - resolution reconstruction basing on the image sequence is a technique for estimating a high - resolution image ( or sequence ) from an image sequence having slight displacement and combating additive noise and blurring due to the finite detector size and optics
基于序列图像的超分辨率图像重构就是由一序列互有位移的低分辨率图像来估计一幅(或一序列)较高分辨率的图像，同时还能够消除加性噪声以及由有限检测器尺寸和光学元件产生的模糊。 |
| 9. | 4 . research of the testing system for bit and the reconstruction of impedance imaging a hardware system for eit technique was made in this paper and the physical model with 16 electrodes was obtained . real time collection , process for data and imaging reconstruction are done by a computer
研制了实时eit硬件系统并对物理模型进行了实际测试和阻抗图像重构研制了eit硬件系统，建立了16电极的物理模型，并利用计算机进行实时数据采沁狂十eit技术的脑内电特性与功能成像研究集、处理与图像重构。 |
| 10. | This software can be used to construct automatically 16 electrodes and 32 electrical electrodes finite element method ( fem ) division model . the equi - potential lines in any drive pattern can be plotted and the boundary potential changes in its forward problem can be obtained . using back projection method , the impedance imaging in simulation and real measurement can be reconstructed
该软件对任意形状、结构的场域可实现自动剖分，可建立16电极、 32电极求解模型；正问题部分可给出各种激励情况下的等位线分布和边界电位变化情况；逆问题部分用反投影法实现了图像重构，并成功应用于所研制的测试系统。 |
