Adaptive image enhancement method based on neural networks
Fuqiang Zhou, Ying Xiong · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
In this paper, an adaptive image enhancement method based on neural networks is proposed. The low frequency components of the image can be obtained by average filter and the high frequency components of the image are obtained by subtracting the low frequency from the original image. The enhanced image is obtained by adding the original image to the high frequency components multiplied by the scale factor. The masking size of the average filter and the scale factor are given by the constructed neural net in terms of the mean and standard deviation of the image. Real experiments has been to test the proposed method and very good result has been obtained.