摘要
主要是讨论运动模糊图像的参数估计。目标是估计给定退化图像的长度(L)和模糊角(θ)尽可能使修复性能达到最优化。Gabor滤波器用于估计所述模糊角度,同时用RBF神经网络(RBFNN)估计模糊长度,用这些参数进行估计来完成原始恢复。为了验证所提出的方案有效性,对标准的图像进行处理,即对标准的图像进行不同的模糊角度和长度处理。把经典原理和该方法进行对比,得出该方法在恢复参数和视觉质量方面更优。
This paper mainly discusses the parameters estimation of motion blurred images.Goal is to estimate the given degraded blur length（L） and fuzzy angle（theta） as the main purpose of this paper is discusses the estimation of motion blur image parameters.The classical principle and the method of this paper are compared,and the method of this paper is better in terms of recovery parameters and visual quality.The classical principle and the method of this paper are compared,and the method of this paper is better in terms of recovery parameters and visual quality.
出处
《工业控制计算机》
2016年第1期86-87,90,共3页
Industrial Control Computer
