The reconstruction for the lost image information of the arbitrary-shape area is very important for the disocclusion and restoration of the image and the object detection in the infrared image.
任意形状区域丢失图像信息的重建对于图像中遮挡区域的去除、受损图像的复原和红外图像中的目标检测具有十分重要的意义。
The primary difficulty with blind image restoration is insufficient information. This calls for proper incorporation of apriori knowledge about the image and the point-spread function(PSF).
盲图像恢复的主要困难是信息不足，而为了恢复图像和确定点扩散函数需要适当的先验知识。
The minimum information discrimination between restored image and prior image is proposed as new regularization constraint in the regularized image restoration.
提出在正则化图像恢复方法中将图像恢复结果与先验图像的最小鉴别信息作为新的正则化约束。
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