Adaptive image enhancement method based on neural networks

Fuqiang Zhou; Ying Xiong

doi:10.1117/12.807404

13 October 2008 Adaptive image enhancement method based on neural networks

Fuqiang Zhou, Ying Xiong

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 71290B (2008) https://doi.org/10.1117/12.807404
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

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.

Citation Download Citation

Fuqiang Zhou and Ying Xiong "Adaptive image enhancement method based on neural networks", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71290B (13 October 2008); https://doi.org/10.1117/12.807404

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