A myopic deconvolution method based on joint estimation of the object and PSF to overcome this limitation is proposed.
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。
The key techniques include disparity 'estimation, occlusion detection, disparity compensated difference coding and joint estimation of disparity and motion.
核心技术有视差估计、遮挡检测、立体残差图像编码、运动和视差的联合估计等。
In this paper, the method to carry out the joint estimation to the message and channel processes is applied so that an optimal nonlinear phase estimator can be built.
本文采用对消息和信道过程进行联合估计的方法，以建立最佳非线性相位估计器。
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