A new image restoration algorithm based on window roaming and RBF neural network
Liwei Zhang, Yaping Zhang · 2011
A new image restoration algorithm is put forward based on window roaming and RBF neural network. Image restoration model is got by the operating of the window roaming and training of RBF neural network and the establishment of corresponding relation between motion blurred image and clear image, which is concentrated on the motion blurred image. Finally, the prepared image is recovered according to the model. The motion blurred image can be recovered well with the new algorithm, and the recovery effect is more advantaged than the classical algorithms such as Wiener filtering and with small computation.