1) image data restoration
图像数据恢复
2) Image recovery
图像恢复
1.
The paper discusses an image recovery method based on improved genetic algorithm.
论述了基于遗传算法的图像恢复方法 ,提出了将模拟退火法和遗传算法相结合求解图像非线性最优化问题的算法。
2.
On the basis of introducing the existent blind deconvolution image recovery algorithm,a maximum likelihood image recovery algorithm deduced from probability statistical is presented in this paper.
在对现存的图像盲解卷积恢复算法进行阐述的基础上,介绍了一种根据概率统计理论推导的极大似然图像恢复算法。
3) image restoration
图像恢复
1.
A note on image restoration algorithm;
关于图像恢复算法的一点注记
2.
A novel approach for color image restoration based on support vector machine;
基于支持向量机的彩色图像恢复新方法
3.
Motion blurred image restoration based on wave equation;
基于波方程的运动模糊图像恢复
4) image reconstruction
图像恢复
1.
A super-resolution image reconstruction algorithm based on projection onto convex sets;
一种基于凸集映射的高分辨率图像恢复算法
2.
Finally the simulation was conducted of radio heliography solar image reconstruction in China National Astronomical Observatories.
通过对国家天文台拟建日像仪图像恢复仿真,验证了该改进算法在图像恢复质量和分辨率两个方面的性能均较CLEAN算法有所提高。
5) Data recovery
数据恢复
1.
2.488 Gbit/s clock and data recovery circuit in 0.35 μm CMOS;
2.488 Gbit/s 0.35μm CMOS时钟和数据恢复电路(英文)
2.
Research on key technologies of data recovery in forensic system;
取证系统中数据恢复关键技术研究
6) data restore
数据恢复
1.
It was introduced the concept and method of the data backup & data restore in the Oracle database, as well as how to implement the method of the data backup and the data restore in TMIS Station System.
介绍Oracle数据库中数据的备份和恢复的概念与方法,以及TMIS车站系统中如何实现数据备份及数据恢复的方法。
2.
This paper is aimed at the situation of FAT breakdown of hard disk including many partition which is put to use extensivly present,analyses it from the principle and feasibility of data restore and put forward the solution which uses common software for recovery and disk edit implement Winhex by hand to recover.
针对目前广泛采用多分区的硬盘出现分区表故障的情况,从数据恢复的原理和可行性上进行分析,提出采用普通恢复软件和磁盘编辑工具Winhex手工恢复数据相结合的解决方法,达到数据恢复的最优效果。
补充资料：图像数据
图像数据 image data
用数值表示的各像素（pixel）的灰度值的集合。对真实世界的图像一般由图像上每一点光的强弱和频谱（颜色）来表示，把图像信息转换成数据信息时，须将图像分解为很多小区域，这些小区域称为像素，可以用一个数值来表示它的灰度，对于彩色图像常用红、绿、蓝三原色（trichromatic）分量表示。顺序地抽取每一个像素的信息，就可以用一个离散的阵列来代表一幅连续的图像。在地理信息系统中一般指栅格数据。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条