1) super-resolution image restoration
超分辨率图像复原
1.
A super-resolution image restoration method based on maximum likelihood(ML)estimation is proposed for the application purpose.
从超分辨率图像复原的实际应用出发,提出了一种基于最大似然的序列图像复原方法。
3) blind super-resolution image restoration
超分辨率图像盲恢复
1.
To improve the boundary condition processing,the regularization processing,and the blurring parameter estimation of parametric blind super-resolution image restoration,an alternative iteration optimization is used to estimate the image blurring and high-resolution image.
改进了有参超分辨率图像盲恢复中的边界与正则处理以及模糊参数估计方法,用交替迭代优化来估计模糊参数和高分辨率图像,用Neumann边界图像模型和修改边界像素来避免边界错误,用近似重排系统矩阵的带结构矩阵,来构造求解高分辨率图像的预处理共轭梯度算法。
4) Super Resolution image restoration
超分辨率图像恢复
1.
Super Resolution image restoration (SR) is a newcome image processing method that extracting higher resolution images containing more details from an image sequence of lower resolution, by image process such as motion estimation, deblurring and denoising.
超分辨率图像恢复是近年来才出现的图像处理方法，该方法通过对图像序列作图像运动估计、图像信息融合、去模糊和去噪声等，从低分辨图像序列的多张图像中恢复细节更精细的高分辨率图像，是一种既经济又容易实现的图像分辨率提高方法，可用于提高遥感和医学等图像的分辨率。
5) image super-resolution
图像超分辨率
1.
On the base of the analysis of single image super-resolution reconstruction, the paper builds a new image degenerating model and discusses the similarities and differences between the proposed model and classic image restoration model, and then analyzes the algorithm implementation steps.
在分析单幅图像超分辨率重建问题的基础上 ,建立一种新的图像退化模型 ,并分析了提出的模型和经典图像恢复中模型的异同点 ,然后分析了算法实施步骤 ,针对提出的分层剥离算法 ,采用级联模板运算方法 ,从而简化了方程计算的复杂度 。
2.
On the basis of Har ri s theory of image super-resolution,the inconsistency in the traditional theory of image super-resolution is analyzed and the model of image formation is impr oved.
论文从Harris等人提出的图像超分辨率理论出发,分析了传统图像超分辨率理论的不妥之处,并在此基础之上对成像模型进行了改进。
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
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