为了解决该难题，提出了基于目标和点扩展函数联合估计的图像近视解卷积算法。
A myopic deconvolution method based on joint estimation of the object and PSF to overcome this limitation is proposed.
先验模糊辨识方法是先获得点扩展函数的信息后再进行图像恢复，而迭代盲目反卷积方法是同时估计出清晰图像和点扩展函数。
Priori Blur Identification gets the PSF before restoration implementation, while Iterative Blind Deconvolution estimates the true image and the PSF at the same time.
在图像的非盲复原算法中，点扩展函数的获取是算法的关键，因而点扩展函数参数估计是图像复原中重要的一步。
The acquisition of the point spread function is the key point in non-blind restoration algorithms for image, it's very important to get the estimation of point spread function parameter.
针对匀速运动降晰的情况，提出了一种新的误差-参数曲线法，并依据这种曲线提出了一种点扩展函数的自动估计算法。
A new error-parameter curve for motion blurring is presented, and an automatic method for estimating the degraded parameter is addressed.
通过引入奇异因子、光滑因子以及平坦因子来实现点扩展函数的估计。
This approach is implemented by integrating the singular, smooth and flat factors of the error-parameter.
通过引入奇异因子、光滑因子以及平坦因子来实现点扩展函数的估计。
This approach is implemented by integrating the singular, smooth and flat factors of the error-parameter.
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