自适应去噪滤波器组合的训练与设计方法

该文通过建立噪声信道模型提出一种对噪声自适应的去噪滤波器组合进行训练和设计的方法。通过对训练图像及噪声信道输出图像的有监督训练，建立自适应于噪声的滤波器组合模型，并可在随后的应用中采用该模型对通过噪声信道的图像进行盲滤波达到滤除图像噪声和保留图像细节的目的。为验证设计方法的有效性，采用高斯调制的加权中值滤波器组对信道中常见的椒盐噪声和均匀分布脉冲噪声进行滤除，效果较现有方法有明显优势。该设计方法可以推广应用到其它具有适应性的去噪滤波器之上，使它们对不同类型、不同强度的信道噪声进行更柔性化的处理。

A Hybrid Filter Training and Design Method for Adaptive Noise Cancellation

A hybrid filter training and design method for adaptive image noise cancellation with establishing noise channel model is presented in this paper. Trainings are performed with input and output test images for channels of different types and/or different intensities to establish channel-adaptive hybrid filter models. In practice the image transferred through the specific channel is filtered blindly by corresponding model to maintain detail and eliminate noise simultaneously. For certificating the efficiency of this design method, Gaussian weighted median filters are adopted to remove well known channel noise, i.e., pepper and salt noise and uniform distributed impulse noise, in this framework. The results outperform some prior methods markedly. This design method can be generalized to other filters with adaptability to treat different channel noise flexibly.